Triple

T3927329
Position Surface form Disambiguated ID Type / Status
Subject Nam Kỳ E93306 entity
Predicate contains P35 FINISHED
Object An Giang 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 | Statement: [Nam Kỳ, contains, An Giang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An Giang
Context triple: [Nam Kỳ, contains, An Giang]
  • 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. 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.
  • 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. Dong Thap
    Dong Thap is a province in southern Vietnam known for its fertile rice fields, lotus wetlands, and location within the Mekong Delta region.
  • E. Ca Mau
    Ca Mau is Vietnam’s southernmost province, known for its extensive mangrove forests, rich fisheries, and the Ca Mau Cape where the country meets the Gulf of Thailand and the South China Sea.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52878184c8190980af506bb03d5db completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:23 p.m.