Triple

T9050550
Position Surface form Disambiguated ID Type / Status
Subject Cao Đài Holy See E216871 entity
Predicate locatedIn P40 FINISHED
Object Tây Ninh City E775455 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: Tây Ninh City | Statement: [Cao Đài Holy See, locatedIn, Tây Ninh City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tây Ninh City
Context triple: [Cao Đài Holy See, locatedIn, Tây Ninh City]
  • A. Tây Ninh City chosen
    Tây Ninh City is an urban center in southern Vietnam known as the administrative, economic, and cultural hub of Tây Ninh Province, near the Cambodian border.
  • B. Tây Ninh Province
    Tây Ninh Province is a region in southern Vietnam known as the spiritual center and birthplace of the syncretic Cao Dai religion.
  • C. Quang Ngai City
    Quang Ngai City is an urban center in central Vietnam known as the political, economic, and cultural hub of Quang Ngai Province.
  • D. Hòa Bình City
    Hòa Bình City is an urban center in northwestern Vietnam that serves as the political, economic, and cultural hub of Hòa Bình Province.
  • E. Cao Bang City
    Cao Bang City is a small provincial capital in northern Vietnam known as a gateway to historic revolutionary sites and scenic mountainous landscapes near the Chinese border.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b54423081908d9fd985109e336a completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0177fb9108190846fe872bb003b08 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:10 p.m.