Triple

T21526701
Position Surface form Disambiguated ID Type / Status
Subject Hue region E531114 entity
Predicate containsDistrict P22582 FINISHED
Object Phu Vang District NE NERFINISHED

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: Phu Vang District | Statement: [Hue region, containsDistrict, Phu Vang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phu Vang District
Context triple: [Hue region, containsDistrict, Phu Vang District]
  • A. Phú Vang District chosen
    Phú Vang District is a rural coastal district in central Vietnam known for its fishing communities, lagoons, and beaches near the city of Huế.
  • B. Lai Vung district
    Lai Vung district is a rural administrative district in Vietnam’s Mekong Delta, known for its citrus orchards and location within Đồng Tháp province.
  • C. Tan Binh District
    Tan Binh District is an urban district of Ho Chi Minh City, Vietnam, known for hosting Tan Son Nhat International Airport and being a major commercial and transportation hub.
  • D. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • E. Thanh Liem District
    Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88515874819085e251c0d297a587 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.