Triple

T15360439
Position Surface form Disambiguated ID Type / Status
Subject Haram E367274 entity
Predicate administrativeCentre P1474 FINISHED
Object Brattvåg E494769 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: Brattvåg | Statement: [Haram, administrativeCentre, Brattvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brattvåg
Context triple: [Haram, administrativeCentre, Brattvåg]
  • A. Brattvåg chosen
    Brattvåg is a small coastal village in western Norway known for its maritime industry and scenic fjord landscape.
  • B. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • C. Sagvåg
    Sagvåg is a village on the island municipality of Stord in Vestland county, Norway, known for its coastal setting and local maritime industry.
  • D. Vikevåg
    Vikevåg is a village in Rogaland county, Norway, known for its coastal setting and role in local administration and services.
  • E. Tveit
    Tveit is a Norwegian surname most notably borne by American actor and singer Aaron Tveit, known for his work in musical theatre, film, and television.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002d966ffc8190aa0d9d3abf8ad593 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 3:18 a.m.