Triple

T16502215
Position Surface form Disambiguated ID Type / Status
Subject Nam Kỳ Lục Tỉnh E400825 entity
Predicate hasPart P35 FINISHED
Object Vĩnh Long E96996 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: Vĩnh Long | Statement: [Nam Kỳ Lục Tỉnh, hasPart, Vĩnh Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vĩnh Long
Context triple: [Nam Kỳ Lục Tỉnh, hasPart, Vĩnh Long]
  • A. Vĩnh Long chosen
    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.
  • 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. Bến Tre
    Bến Tre is a coastal province in Vietnam’s Mekong Delta, known for its extensive coconut plantations and riverine landscapes.
  • D. 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.
  • E. Vinh Long
    Vinh Long is a province in Vietnam’s Mekong Delta region, known for its riverine landscapes, fruit orchards, and network of canals and islands.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e4f7b7c8190adb5a113f798484f completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582e6e288190825af8758097e325 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.