Triple

T21526699
Position Surface form Disambiguated ID Type / Status
Subject Hue region E531114 entity
Predicate containsDistrict P22582 FINISHED
Object Phong Dien 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: Phong Dien District | Statement: [Hue region, containsDistrict, Phong Dien District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phong Dien District
Context triple: [Hue region, containsDistrict, Phong Dien District]
  • A. Phong Dien District chosen
    Phong Dien District is a rural district of Cần Thơ in Vietnam’s Mekong Delta, known for its lush orchards, waterways, and traditional floating markets.
  • B. Huong Hoa District
    Huong Hoa District is a rural mountainous district in Quang Tri Province, Vietnam, known for its border location near Laos and its diverse ethnic communities.
  • C. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • D. Thanh Liem District
    Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
  • E. Giao Thuy District
    Giao Thuy District is a rural coastal district in northern Vietnam known for its agriculture, fisheries, and proximity to the Xuan Thuy National Park wetland area.
  • 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.