Triple

T20308284
Position Surface form Disambiguated ID Type / Status
Subject Ede people E510162 entity
Predicate residesIn P75 FINISHED
Object Phú Yên Province 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: Phú Yên Province | Statement: [Ede people, residesIn, Phú Yên Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phú Yên Province
Context triple: [Ede people, residesIn, Phú Yên Province]
  • A. Phú Yên province chosen
    Phú Yên province is a coastal region in south-central Vietnam known for its scenic beaches, rice fields, and relatively unspoiled natural landscapes.
  • B. Phu Yen province
    Phu Yen province is a coastal province in south-central Vietnam known for its scenic beaches, lagoons, and relatively unspoiled natural landscapes.
  • C. Khánh Hòa province
    Khánh Hòa province is a coastal region in south-central Vietnam known for its beaches, islands, and the resort city of Nha Trang.
  • D. Binh Dinh Province
    Binh Dinh Province is a coastal province in south-central Vietnam known for its historic Cham sites, martial arts traditions, and the city of Quy Nhon.
  • E. Pleiku Province
    Pleiku Province was a former province in Vietnam’s Central Highlands, historically significant as a major military area during the Vietnam War.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677411cf08190ba7e98a4135b643a completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.