Triple

T16408103
Position Surface form Disambiguated ID Type / Status
Subject Dunedin Airport E398487 entity
Predicate servesRegion P82 FINISHED
Object Otago NE NERFINISHED

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: Otago | Statement: [Dunedin Airport, servesRegion, Otago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otago
Context triple: [Dunedin Airport, servesRegion, Otago]
  • A. Otago
    Otago is a large region in the south of New Zealand known for its dramatic landscapes, historic gold-mining heritage, and the university city of Dunedin.
  • B. North Otago
    North Otago is a rural region in the South Island of New Zealand, centered around the town of Oamaru and known for its agriculture, coastal landscapes, and historic architecture.
  • C. Otago Region chosen
    Otago Region is a large region in the south of New Zealand’s South Island, known for its dramatic landscapes, historic gold-mining heritage, and the university city of Dunedin.
  • D. South Otago
    South Otago is a predominantly rural area in the southeastern part of New Zealand’s South Island, known for its farming communities, rolling countryside, and small service towns.
  • E. North Canterbury
    North Canterbury is a rural region in the South Island of New Zealand known for its agricultural landscapes, coastal plains, and historical Māori settlements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
Created at: April 10, 2026, 5:09 a.m.