Triple

T6563473
Position Surface form Disambiguated ID Type / Status
Subject Pleiku Campaign E153842 entity
Predicate location P40 FINISHED
Object Pleiku Province E155121 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: Pleiku Province | Statement: [Pleiku Campaign, location, Pleiku Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pleiku Province
Context triple: [Pleiku Campaign, location, Pleiku Province]
  • A. Pleiku Province chosen
    Pleiku Province was a former province in Vietnam’s Central Highlands, historically significant as a major military area during the Vietnam War.
  • B. 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.
  • C. Gia Lai
    Gia Lai is a mountainous province in Vietnam’s Central Highlands known for its diverse ethnic communities, coffee cultivation, and scenic plateaus.
  • D. Ha Nam Province
    Ha Nam Province is a small, predominantly rural province in Vietnam’s Red River Delta region, known for its agriculture, traditional craft villages, and proximity to the capital city Hanoi.
  • E. Quang Duc Province
    Quang Duc Province was a former administrative province of South Vietnam located in the Central Highlands region.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3a40488190892d20ca0d60b937 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7127fc0a081909589c2a05e457866 completed March 27, 2026, 11:27 p.m.
Created at: March 27, 2026, 1:52 p.m.