Triple
T6762295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vegårshei |
E154623
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Vegår |
E154623
|
NE FINISHED |
How this triple was built (2 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: Vegår | Statement: [Vegårshei, hasLake, Vegår]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vegår Context triple: [Vegårshei, hasLake, Vegår]
-
A.
Veitvet
Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
-
B.
Vègre
The Vègre is a river in northwestern France that flows through the Sarthe department before joining the Eure’s river system as a tributary.
-
C.
Váli
Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
-
D.
Vegårshei
chosen
Vegårshei is a rural municipality in Agder county in southern Norway, known for its forests, lakes, and traditional inland communities.
-
E.
Gvarv
Gvarv is a small village in Telemark, Norway, known for its fruit farming and scenic location near the lake Norsjø.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21444dc8190a290af86c81e96a5 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b6ec408190bd9131f289b02ba7 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:12 p.m.