Triple

T15890706
Position Surface form Disambiguated ID Type / Status
Subject Ieng Sary E385309 entity
Predicate placeOfBirth P1 FINISHED
Object Tra Vinh E790160 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: Tra Vinh | Statement: [Ieng Sary, placeOfBirth, Tra Vinh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tra Vinh
Context triple: [Ieng Sary, placeOfBirth, Tra Vinh]
  • A. Tra Vinh chosen
    Tra Vinh is a coastal province in Vietnam’s Mekong Delta region, known for its large Khmer community, numerous pagodas, and rich riverine landscapes.
  • B. Rach Gia
    Rach Gia is a coastal city in Vietnam’s Kien Giang Province, known as a gateway to the Gulf of Thailand and nearby islands such as Phu Quoc.
  • C. Vinh
    Vinh is a major city in north-central Vietnam, serving as the economic and cultural center of Nghệ An Province.
  • D. Ca Mau City
    Ca Mau City is a southern Vietnamese urban center known as the country’s southernmost city and a regional hub for fishing, agriculture, and trade in the Mekong Delta.
  • E. Viet Tri City
    Viet Tri City is an urban and industrial center in northern Vietnam known as a regional hub for administration, transportation, and manufacturing.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561e5ac481908ead7de3140c769d completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb047b6248190b6c11ef20636f50f completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.