Triple

T17350806
Position Surface form Disambiguated ID Type / Status
Subject Bà Chúa Xứ Temple E421805 entity
Predicate locatedIn P40 FINISHED
Object An Giang Province E230419 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: An Giang Province | Statement: [Bà Chúa Xứ Temple, locatedIn, An Giang Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An Giang Province
Context triple: [Bà Chúa Xứ Temple, locatedIn, An Giang Province]
  • A. An Giang chosen
    An Giang is a province in southern Vietnam known for its location along the Mekong River, rich agricultural lands, and cultural diversity.
  • B. Tien Giang Province
    Tien Giang Province is a southern Vietnamese province in the fertile Mekong Delta region, known for its extensive fruit orchards, riverine landscapes, and the gateway city of My Tho.
  • C. Kien Giang
    Kien Giang is a coastal province in southern Vietnam known for its islands (including Phu Quoc), fishing industry, and location in the Mekong Delta region.
  • D. Hau Giang
    Hau Giang is a rural province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and agricultural economy.
  • E. 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.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2ca0708190aae8306ec3a6f2a7 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.