Triple

T9318178
Position Surface form Disambiguated ID Type / Status
Subject Phạm Công Tắc E224174 entity
Predicate placeOfActivity P1527 FINISHED
Object Tây Ninh E216870 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 | Statement: [Phạm Công Tắc, placeOfActivity, Tây Ninh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tây Ninh
Context triple: [Phạm Công Tắc, placeOfActivity, Tây Ninh]
  • A. Tây Ninh Province chosen
    Tây Ninh Province is a region in southern Vietnam known as the spiritual center and birthplace of the syncretic Cao Dai religion.
  • B. Tây Ninh City
    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.
  • C. Vĩnh Long
    Vĩnh Long is a city and province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
  • D. Ben Tre Province
    Ben Tre Province is a coastal province in Vietnam’s Mekong Delta region, known for its extensive coconut plantations and intricate network of rivers and canals.
  • E. Hau Giang
    Hau Giang is a rural province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and agricultural economy.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14bd5c89081909533dbfc9f82016d completed April 4, 2026, 5:35 p.m.
Created at: March 30, 2026, 7:38 p.m.