Triple

T11684174
Position Surface form Disambiguated ID Type / Status
Subject Ung Hoa District E277695 entity
Predicate administrativeCenter P1474 FINISHED
Object Van Dinh township E250680 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: Van Dinh township | Statement: [Ung Hoa District, administrativeCenter, Van Dinh township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Dinh township
Context triple: [Ung Hoa District, administrativeCenter, Van Dinh township]
  • A. Quang Minh Township
    Quang Minh Township is an urban administrative township located within Mê Linh District in the Hanoi metropolitan area of Vietnam.
  • B. Chi Đông Township
    Chi Đông Township is an urban administrative township serving as a local center within Mê Linh District in Hanoi, Vietnam.
  • C. Vân Đình township chosen
    Vân Đình township is an urban administrative center in Hanoi, Vietnam, serving as the capital of Ứng Hòa District.
  • D. Ngazun Township
    Ngazun Township is an administrative township in central Myanmar, located within the Mandalay Region.
  • E. Nangan Township
    Nangan Township is the main administrative and population center of Taiwan’s Matsu Islands, known for its military history, coastal scenery, and role as a frontline outpost near mainland China.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef142269d08190a9e5cf8d6268168b completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.