Triple
T831374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trøndelag |
E17971
|
entity |
| Predicate | historicallyDividedInto |
P20121
|
FINISHED |
| Object |
Nord-Trøndelag
Nord-Trøndelag was a former county in central Norway known for its rural landscapes, coastal areas, and role as part of the historic Trøndelag region.
|
E17971
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nord-Trøndelag | Statement: [Trøndelag, historicallyDividedInto, Nord-Trøndelag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord-Trøndelag Context triple: [Trøndelag, historicallyDividedInto, Nord-Trøndelag]
-
A.
Trøndelag
Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
-
B.
Møre og Romsdal
Møre og Romsdal is a coastal county in western Norway known for its dramatic fjords, islands, and mountainous landscapes.
-
C.
Hedmark
Hedmark is a former county in eastern Norway known for its vast forests, agriculture, and inland landscapes along the Swedish border.
-
D.
Buskerud
Buskerud is a former county in southeastern Norway known for its varied landscape of forests, rivers, and mountains, including parts of the Hallingdal valley and Hardangervidda plateau.
-
E.
Troms og Finnmark
Troms og Finnmark is Norway’s northernmost and largest county, known for its Arctic landscapes, Sami culture, and phenomena like the midnight sun and northern lights.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nord-Trøndelag Triple: [Trøndelag, historicallyDividedInto, Nord-Trøndelag]
Generated description
Nord-Trøndelag was a former county in central Norway known for its rural landscapes, coastal areas, and role as part of the historic Trøndelag region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nord-Trøndelag Target entity description: Nord-Trøndelag was a former county in central Norway known for its rural landscapes, coastal areas, and role as part of the historic Trøndelag region.
-
A.
Trøndelag
chosen
Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
-
B.
Møre og Romsdal
Møre og Romsdal is a coastal county in western Norway known for its dramatic fjords, islands, and mountainous landscapes.
-
C.
Hedmark
Hedmark is a former county in eastern Norway known for its vast forests, agriculture, and inland landscapes along the Swedish border.
-
D.
Buskerud
Buskerud is a former county in southeastern Norway known for its varied landscape of forests, rivers, and mountains, including parts of the Hallingdal valley and Hardangervidda plateau.
-
E.
Troms og Finnmark
Troms og Finnmark is Norway’s northernmost and largest county, known for its Arctic landscapes, Sami culture, and phenomena like the midnight sun and northern lights.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyDividedInto Context triple: [Trøndelag, historicallyDividedInto, Nord-Trøndelag]
-
A.
wasDividedFromYear
Indicates that an entity began to be separated or partitioned starting from a specified year.
-
B.
historicallyPartOf
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
-
C.
dividedStatesInto
Indicates that one entity partitioned another entity into multiple distinct states or regions.
-
D.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
E.
wasDividedByTreaty
Indicates that an entity (such as a territory or region) was partitioned or separated as the result of a formal treaty or agreement.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb4be948190ae757df85bdc40e4 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac257c87b081909f153c8f275c3d45 |
completed | March 7, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_69ac26001c588190b1870b84e6998f41 |
completed | March 7, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac265f016881908f106502054837fc |
completed | March 7, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.