Triple
T17370303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenland |
E422291
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Langesund |
—
|
NE ONNED1 |
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: Langesund | Statement: [Grenland, hasMajorTown, Langesund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langesund Context triple: [Grenland, hasMajorTown, Langesund]
-
A.
Langesund
chosen
Langesund is a coastal town in southern Norway known historically as a shipping and timber port and now as a popular summer and ferry destination.
-
B.
Langenes
Langenes is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
E.
Langevåg
Langevåg is a village in western Norway known for its coastal setting and proximity to the city of Ålesund.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a68ff448190b505861e56df5b6d |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019568a27c8190af1bbe6db75f3e6f |
in_progress | May 11, 2026, 8:38 a.m. |
Created at: April 10, 2026, 5:44 a.m.