Triple

T9050549
Position Surface form Disambiguated ID Type / Status
Subject Cao Đài Holy See E216871 entity
Predicate locatedIn P40 FINISHED
Object Tây Ninh Province 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 Province | Statement: [Cao Đài Holy See, locatedIn, Tây Ninh Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tây Ninh Province
Context triple: [Cao Đài Holy See, locatedIn, Tây Ninh Province]
  • 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. Dong Nai Province
    Dong Nai Province is an industrially developed province in Vietnam’s Southeast region, located just east of Ho Chi Minh City and known for its manufacturing zones and the Tri An hydropower reservoir.
  • C. Lam Dong Province
    Lam Dong Province is a mountainous region in Vietnam’s Central Highlands known for its cool climate, pine forests, and the popular tourist city of Da Lat.
  • D. Quang Ngai Province
    Quang Ngai Province is a coastal region in central Vietnam historically known as the site of the My Lai massacre during the Vietnam War.
  • E. Trang province
    Trang province is a coastal province in southern Thailand known for its Andaman Sea islands, limestone cliffs, and rich cultural and culinary traditions.
  • 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_69d0774f0d7c8190b071e5b161622355 completed April 4, 2026, 2:28 a.m.
Created at: March 30, 2026, 7:10 p.m.