Triple
T19198115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agdenes |
E470024
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Værnes
Værnes is a village in Trøndelag county, Norway, known for its proximity to Trondheim Airport and its location along the Trondheimsfjord.
|
E1362327
|
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: Værnes | Statement: [Agdenes, hasSettlement, Værnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Værnes Context triple: [Agdenes, hasSettlement, Værnes]
-
A.
Hanevik
Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
-
B.
Vangsnes
Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
-
C.
Tysvær
Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
-
D.
Vestre
Vestre is a Norwegian surname most notably associated with Jan Christian Vestre, a prominent Norwegian politician and businessman.
-
E.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
- 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: Værnes Triple: [Agdenes, hasSettlement, Værnes]
Generated description
Værnes is a village in Trøndelag county, Norway, known for its proximity to Trondheim Airport and its location along the Trondheimsfjord.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Værnes Target entity description: Værnes is a village in Trøndelag county, Norway, known for its proximity to Trondheim Airport and its location along the Trondheimsfjord.
-
A.
Hanevik
Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
-
B.
Vangsnes
Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
-
C.
Tysvær
Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
-
D.
Vestre
Vestre is a Norwegian surname most notably associated with Jan Christian Vestre, a prominent Norwegian politician and businessman.
-
E.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8c2805c8190be95a283c7db864f |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f948932c8190a4ce08178c00b251 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f9e1fb708190958c64fd38d32d04 |
completed | May 15, 2026, 10:48 a.m. |
Created at: April 10, 2026, 12:07 p.m.