Triple

T17597479
Position Surface form Disambiguated ID Type / Status
Subject Tiền Giang E428610 entity
Predicate borders P224 FINISHED
Object Đồng Tháp province 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: Đồng Tháp province | Statement: [Tiền Giang, borders, Đồng Tháp province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Đồng Tháp province
Context triple: [Tiền Giang, borders, Đồng Tháp province]
  • A. Dong Thap chosen
    Dong Thap is a province in southern Vietnam known for its fertile rice fields, lotus wetlands, and location within the Mekong Delta region.
  • B. Tiền Giang
    Tiền Giang is a province in Vietnam’s Mekong Delta region, known for its extensive river networks, fruit orchards, and the popular tourist city of Mỹ Tho.
  • C. 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.
  • D. Sông Bé Province
    Sông Bé Province was a former province in southern Vietnam that was later divided into Bình Dương and Bình Phước provinces.
  • E. Hậu Giang
    Hậu Giang is a province in Vietnam’s Mekong Delta region, known for its extensive waterways, rice paddies, and tropical fruit cultivation.
  • 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.