Triple

T9073567
Position Surface form Disambiguated ID Type / Status
Subject Trưng Sisters E217426 entity
Predicate birthPlace P1 FINISHED
Object Mê Linh E44862 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: Mê Linh | Statement: [Trưng Sisters, birthPlace, Mê Linh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mê Linh
Context triple: [Trưng Sisters, birthPlace, Mê Linh]
  • A. Mê Linh District chosen
    Mê Linh District is a rural administrative district located on the outskirts of Hanoi, Vietnam, known for its agriculture and flower cultivation.
  • B. Phúc Đồng
    Phúc Đồng is a ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
  • C. Bac Ninh
    Bac Ninh is a province-level city in northern Vietnam known for its rich cultural heritage, traditional Quan họ folk songs, and its proximity to Hanoi in the Red River Delta region.
  • D. Tân Lạc District
    Tân Lạc District is a rural administrative district in Vietnam’s Hòa Bình Province, known for its mountainous terrain and ethnic minority communities.
  • E. Hiệp Hòa District
    Hiệp Hòa District is a rural administrative district in Bắc Giang Province, Vietnam, known for its agricultural economy and proximity to the capital region.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc956111dc8190a25cefe68fd6a949 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdfe16c4819092c884bc3fe5daeb completed April 3, 2026, 5:50 p.m.
Created at: March 30, 2026, 7:12 p.m.