Triple

T22629412
Position Surface form Disambiguated ID Type / Status
Subject Nam Đàn District E558506 entity
Predicate borderedBy P224 FINISHED
Object Thanh Chương 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: Thanh Chương District | Statement: [Nam Đàn District, borderedBy, Thanh Chương District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanh Chương District
Context triple: [Nam Đàn District, borderedBy, Thanh Chương District]
  • A. Lạc Sơn District
    Lạc Sơn District is a rural administrative district located in Hòa Bình Province in Vietnam’s northwestern region.
  • B. Khoái Châu District
    Khoái Châu District is a rural administrative district in Hưng Yên Province in Vietnam’s Red River Delta region.
  • C. Châu Thành District
    Châu Thành District is a rural administrative district in southern Vietnam, located within Tây Ninh Province near the Cambodian border.
  • D. Quy Chau District chosen
    Quy Chau District is a rural administrative district located in the mountainous western part of Nghệ An Province in north-central Vietnam.
  • E. Bố Trạch District
    Bố Trạch District is a rural district in Quảng Bình Province, Vietnam, known for encompassing part of Phong Nha-Kẻ Bàng National Park, a UNESCO World Heritage Site famed for its extensive cave systems.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3febd081909ff21abef1e4035d completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:02 p.m.