Triple
T20367203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nesset |
E496944
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object |
Eidsvåg
Eidsvåg is a village in Møre og Romsdal county, Norway, known for its fjord-side location and role as a local service and industrial hub.
|
E1487958
|
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: Eidsvåg | Statement: [Nesset, administrativeCentre, Eidsvåg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eidsvåg Context triple: [Nesset, administrativeCentre, Eidsvåg]
-
A.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
C.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
D.
Vaksdal
Vaksdal is a village in Vestland county, Norway, situated along the Veafjorden and known for its historic textile industry and railway connections.
-
E.
Hasvåg
Hasvåg is a small coastal village in Trøndelag county, Norway, known for its fishing and scenic North Atlantic shoreline.
- 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: Eidsvåg Triple: [Nesset, administrativeCentre, Eidsvåg]
Generated description
Eidsvåg is a village in Møre og Romsdal county, Norway, known for its fjord-side location and role as a local service and industrial hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eidsvåg Target entity description: Eidsvåg is a village in Møre og Romsdal county, Norway, known for its fjord-side location and role as a local service and industrial hub.
-
A.
Nissedal
Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
C.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
D.
Vaksdal
Vaksdal is a village in Vestland county, Norway, situated along the Veafjorden and known for its historic textile industry and railway connections.
-
E.
Hasvåg
Hasvåg is a small coastal village in Trøndelag county, Norway, known for its fishing and scenic North Atlantic shoreline.
- F. None of above. chosen
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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e11c15f08190a8db613e7b34f0a7 |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e20fc78c8190938ec8f40ff98772 |
completed | May 17, 2026, 3:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e2b77d90819083138b6cbe80eb85 |
completed | May 17, 2026, 3:45 p.m. |
Created at: April 16, 2026, 11:26 a.m.