Triple
T7317002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grimstad |
E168438
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Arendal |
E22542
|
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: Arendal | Statement: [Grimstad, neighboringMunicipality, Arendal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arendal Context triple: [Grimstad, neighboringMunicipality, Arendal]
-
A.
Arendal
chosen
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
B.
Farsund
Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
-
C.
Henningsvær
Henningsvær is a picturesque fishing village in northern Norway, known for its traditional architecture, dramatic coastal scenery, and vibrant arts and tourism scene.
-
D.
Tønsberg
Tønsberg is a historic coastal town in southeastern Norway, often regarded as one of the country’s oldest cities and known for its Viking heritage and maritime culture.
-
E.
Grimstad
Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef162d488190bf1c63b71b20a294 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7adaf3c819095214864b91316f6 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 3:02 p.m.