Triple

T16502217
Position Surface form Disambiguated ID Type / Status
Subject Nam Kỳ Lục Tỉnh E400825 entity
Predicate hasPart P35 FINISHED
Object Hà Tiên E99972 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: Hà Tiên | Statement: [Nam Kỳ Lục Tỉnh, hasPart, Hà Tiên]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hà Tiên
Context triple: [Nam Kỳ Lục Tỉnh, hasPart, Hà Tiên]
  • A. Hà Tiên chosen
    Hà Tiên is a coastal town in southwestern Vietnam near the Cambodian border, known historically as a trading port and cultural crossroads in the Mekong Delta region.
  • B. Lao Bảo
    Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
  • C. Cao Lanh
    Cao Lanh is a city in Vietnam’s Mekong Delta region known as an administrative, commercial, and cultural hub of Dong Thap Province.
  • D. Pleiku
    Pleiku is a city in Vietnam’s Central Highlands known as a regional hub for coffee production and as a strategic site during the Vietnam War.
  • E. Bien Hoa
    Bien Hoa is a major industrial city in southern Vietnam, located near Ho Chi Minh City and known for its large manufacturing zones and economic importance.
  • 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_6a00607e933c8190ae0572583b5a9cbf completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.