Triple

T16167846
Position Surface form Disambiguated ID Type / Status
Subject Napier Airport E392353 entity
Predicate servesCity P82 FINISHED
Object Napier E95316 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: Napier | Statement: [Napier Airport, servesCity, Napier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napier
Context triple: [Napier Airport, servesCity, Napier]
  • A. Napier chosen
    Napier is a coastal city in New Zealand renowned for its extensive Art Deco architecture and wine-producing Hawke's Bay region.
  • B. Napier
    Napier is a Scottish surname most famously associated with the mathematician John Napier, the inventor of logarithms.
  • C. Napier
    Napier is a small rural village in South Africa’s Western Cape, known for its historic architecture, farming community, and scenic Overberg countryside.
  • D. Dunedin
    Dunedin is a coastal city in Pinellas County, Florida, known for its Scottish heritage, walkable downtown, and proximity to popular Gulf Coast beaches.
  • E. Dunedin
    Dunedin is a major coastal city in the South Island of New Zealand, known for its Scottish heritage, historic architecture, and proximity to unique wildlife on the Otago Peninsula.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb4ea9c81908806f9771ae80148 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000785fcd481909ddf92cf9cc5c0aa completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.