Triple

T9883449
Position Surface form Disambiguated ID Type / Status
Subject Ofoten district E180868 entity
Predicate hasMunicipality P847 FINISHED
Object Tjeldsund E330816 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: Tjeldsund | Statement: [Ofoten district, hasMunicipality, Tjeldsund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tjeldsund
Context triple: [Ofoten district, hasMunicipality, Tjeldsund]
  • A. Tjeldsund chosen
    Tjeldsund is a coastal municipality in northern Norway known for its location around the Tjeldsundet strait and its mix of island and mainland landscapes.
  • B. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • C. Farsund
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • D. 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.
  • E. Bodø Harbour
    Bodø Harbour is a key coastal port in the Norwegian town of Bodø, serving as an important hub for regional shipping, fishing, and ferry traffic in northern Norway.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb453b388819095a5070399d9788d completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d15df30819092ae896786564478 completed April 5, 2026, 10:44 a.m.
Created at: March 30, 2026, 8:38 p.m.