Triple

T22304485
Position Surface form Disambiguated ID Type / Status
Subject Ostend E551338 entity
Predicate locatedNear P294 FINISHED
Object Onetangi 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: Onetangi | Statement: [Ostend, locatedNear, Onetangi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onetangi
Context triple: [Ostend, locatedNear, Onetangi]
  • A. Onetangi chosen
    Onetangi is a coastal settlement on Waiheke Island in New Zealand, known for its long sandy beach, vineyards, and relaxed holiday atmosphere.
  • B. Ngatangiia
    Ngatangiia is a village district on the eastern side of Rarotonga in the Cook Islands, known for its coastal scenery and traditional Polynesian culture.
  • C. Mangatārere
    Mangatārere is a small rural settlement located within the Carterton District of New Zealand’s Wairarapa region.
  • D. Tangale
    Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
  • E. Puketitiri
    Puketitiri is a rural locality in New Zealand’s Hawke’s Bay region, known for its elevated farmland, native bush, and access to nearby forested ranges and outdoor recreation areas.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15726b7e48190b7636db01dbb8a40 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.