Triple
T17309156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvam Municipality |
E420244
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Strandebarm |
E1147723
|
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: Strandebarm | Statement: [Kvam Municipality, hasSettlement, Strandebarm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strandebarm Context triple: [Kvam Municipality, hasSettlement, Strandebarm]
-
A.
Strandebarm
chosen
Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
-
B.
Hovstranda
Hovstranda is a scenic sandy beach on the island of Gimsøya in Norway’s Lofoten archipelago, known for its coastal views and midnight sun.
-
C.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
D.
Strusshamn
Strusshamn is a coastal village in western Norway known for its traditional wooden architecture and maritime heritage, located on the island of Askøy near Bergen.
-
E.
Stegesund
Stegesund is a small island in the Stockholm archipelago of Sweden, known for its scenic coastal setting and proximity to the town of Vaxholm.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439970cf08190bc9e49ba830da0d9 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e30934819087b7c838c8874aff |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.