Triple

T18879894
Position Surface form Disambiguated ID Type / Status
Subject Smith Sound E461796 entity
Predicate region P40 FINISHED
Object Avannaata municipality E1026430 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: Avannaata municipality | Statement: [Smith Sound, region, Avannaata municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avannaata municipality
Context triple: [Smith Sound, region, Avannaata municipality]
  • A. Avannaata municipality chosen
    Avannaata municipality is a large local government area in northwestern Greenland that includes remote Arctic regions such as the Thule area and several coastal settlements.
  • B. Kaarma municipality
    Kaarma municipality was a former local government unit on the island of Saaremaa in western Estonia that was later incorporated into the larger Saaremaa municipality.
  • C. Tivat Municipality
    Tivat Municipality is an administrative region in southwestern Montenegro centered on the coastal town of Tivat along the Bay of Kotor.
  • D. Tanum Municipality
    Tanum Municipality is a coastal municipality in western Sweden renowned for its extensive Bronze Age rock carvings, a UNESCO World Heritage Site.
  • E. Anserma Municipality
    Anserma Municipality is an administrative division in the Caldas Department of Colombia, centered around the town of Anserma as its main urban and governmental hub.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d06ef481908bba297d7a1fd011 completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c37ed081908e70d965dbea09c8 completed May 14, 2026, 7:12 a.m.
Created at: April 10, 2026, 11:57 a.m.