Triple
T15243806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordland Teater |
E364325
|
entity |
| Predicate | serviceArea |
P82
|
FINISHED |
| Object | Nordland region |
E401032
|
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: Nordland region | Statement: [Nordland Teater, serviceArea, Nordland region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordland region Context triple: [Nordland Teater, serviceArea, Nordland region]
-
A.
Nordland
Nordland is a long coastal county in northern Norway known for its dramatic fjords, islands like the Lofoten archipelago, and Arctic landscapes.
-
B.
Nordlandet
Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
-
C.
Nordland county
chosen
Nordland county is a long, coastal region in northern Norway known for its dramatic fjords, islands, and Arctic landscapes.
-
D.
Hålogaland
Hålogaland is a historical region in northern Norway traditionally encompassing parts of what are now Troms and Nordland counties.
-
E.
Bodø region
The Bodø region is a coastal area in Northern Norway centered around the city of Bodø, known for its Arctic landscape, maritime industries, and role as a regional hub for education, transport, and commerce.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb593258081909dcaf2b37fd28e63 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 3:13 a.m.