Triple

T17597519
Position Surface form Disambiguated ID Type / Status
Subject Tiền Giang E428610 entity
Predicate hasEthnicGroup 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: [Tiền Giang, hasEthnicGroup, Hoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoa
Context triple: [Tiền Giang, hasEthnicGroup, 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.