Triple
T5843442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verdal |
E129647
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object |
Nord-Trøndelag
Nord-Trøndelag was a former county in central Norway known for its rural landscapes, agriculture, and coastal and fjord communities before being merged into Trøndelag county in 2018.
|
E17971
|
NE FINISHED |
How this triple was built (4 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: [Verdal, historicalRegion, Nord-Trøndelag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord-Trøndelag Context triple: [Verdal, historicalRegion, 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.
Sogn og Fjordane
Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
-
D.
Hedmark
Hedmark is a former county in eastern Norway known for its vast forests, agriculture, and inland landscapes along the Swedish border.
-
E.
Hedmarken
Hedmarken is a traditional district in Innlandet county in eastern Norway, known for its agricultural landscapes and its central town, Hamar.
- 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: [Verdal, historicalRegion, Nord-Trøndelag]
Generated description
Nord-Trøndelag was a former county in central Norway known for its rural landscapes, agriculture, and coastal and fjord communities before being merged into Trøndelag county in 2018.
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, agriculture, and coastal and fjord communities before being merged into Trøndelag county in 2018.
-
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.
Sogn og Fjordane
Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
-
D.
Hedmark
Hedmark is a former county in eastern Norway known for its vast forests, agriculture, and inland landscapes along the Swedish border.
-
E.
Hedmarken
Hedmarken is a traditional district in Innlandet county in eastern Norway, known for its agricultural landscapes and its central town, Hamar.
- F. None of above.
Provenance (5 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d9da0c8190970319d0dc2fc73f |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d4fa68c08190bb656aef231a9df0 |
completed | March 27, 2026, 7:05 p.m. |
| NEDg | Description generation | batch_69c6d6aba9688190ada4f921768e314e |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d82d77388190a3022a2366a5aec7 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 22, 2026, 3:54 p.m.