Triple

T11043577
Position Surface form Disambiguated ID Type / Status
Subject Lộc Ninh District E261079 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Lộc Ninh township E261079 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: Lộc Ninh township | Statement: [Lộc Ninh District, hasAdministrativeCenter, Lộc Ninh township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lộc Ninh township
Context triple: [Lộc Ninh District, hasAdministrativeCenter, Lộc Ninh 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. Phúc Lâm Commune
    Phúc Lâm Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • C. Phùng Xá Commune
    Phùng Xá Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • D. Loc Ninh District chosen
    Loc Ninh District is a rural district in Bình Phước Province in southern Vietnam, near the Cambodian border and historically known for its role in the Vietnam War.
  • E. Kien Giang township
    Kien Giang township is the administrative and commercial center of Lệ Thủy District in Quảng Bình Province, Vietnam.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7982d42bc81908ac10f54a7b43fb7 completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9f180688190ab2d1142b30a2836 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.