Triple

T11579788
Position Surface form Disambiguated ID Type / Status
Subject Orisha E274594 entity
Predicate hasNotableMember P304 FINISHED
Object Oya E56231 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: Oya | Statement: [Orisha, hasNotableMember, Oya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oya
Context triple: [Orisha, hasNotableMember, Oya]
  • A. Oya chosen
    Oya is a powerful Yoruba orisha associated with storms, winds, transformation, and the Niger River.
  • B. Yamate
    Yamate is a historic hillside district in Yokohama known for its Western-style residences, foreign settlers’ heritage, and scenic views over the city and harbor.
  • C. Hannō
    Hannō is a suburban city in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
  • D. Maimiti
    Maimiti was a Tahitian woman known as the wife of Bounty mutineer Fletcher Christian and one of the Polynesian settlers who accompanied the mutineers to Pitcairn Island.
  • E. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7141b16d8819099002a009260a85a completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.