Triple

T18079861
Position Surface form Disambiguated ID Type / Status
Subject Trà Vinh E432658 entity
Predicate hasMajorEthnicGroup P1898 FINISHED
Object Hoa 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: Hoa | Statement: [Trà Vinh, hasMajorEthnicGroup, Hoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoa
Context triple: [Trà Vinh, hasMajorEthnicGroup, Hoa]
  • A. Hoa chosen
    The Hoa are an ethnic Chinese minority community in Vietnam, particularly concentrated in the Mekong Delta and major urban centers.
  • B. Hoa Lu
    Hoa Lu is an ancient capital site of Vietnam renowned for its historic temples, royal citadel ruins, and scenic karst landscape in present-day Ninh Binh Province.
  • C. Bunga
    Bunga is a brave and energetic honey badger who serves as the comedic yet fearless member of the Lion Guard in the Disney Junior series.
  • D. Sōsa
    Sōsa is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
  • E. Hạua
    Hạua is a small outlying islet associated with the Polynesian island of Rotuma in the South Pacific Ocean.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f81ff08190b7465e3c5568aa59 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.