Triple

T23012441
Position Surface form Disambiguated ID Type / Status
Subject Huyện Nam Đàn E572943 entity
Predicate capital P234 FINISHED
Object Nam Đàn township 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: Nam Đàn township | Statement: [Huyện Nam Đàn, capital, Nam Đàn township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nam Đàn township
Context triple: [Huyện Nam Đàn, capital, Nam Đàn township]
  • A. Nam Đàn township chosen
    Nam Đàn township is an administrative and urban center in Nghệ An Province, Vietnam, known for serving as the political and economic hub of Nam Đàn District.
  • B. Quang Minh Township
    Quang Minh Township is an urban administrative township located within Mê Linh District in the Hanoi metropolitan area of Vietnam.
  • C. Nam Thanh Commune
    Nam Thanh Commune is a rural administrative subdivision located within Nam Đàn District in Nghệ An Province, Vietnam.
  • D. Nam Cát Commune
    Nam Cát Commune is a rural administrative subdivision located within Nam Đàn District in Nghệ An Province, Vietnam.
  • E. Gio Linh township
    Gio Linh township is the administrative and commercial center of Gio Linh District in Quảng Trị Province, 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e202a481908d7a2f00a12229a0 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.