Triple

T2333621
Position Surface form Disambiguated ID Type / Status
Subject Thanh Trì District E44260 entity
Predicate borders P224 FINISHED
Object Thường Tín District E49255 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: Thường Tín District | Statement: [Thanh Trì District, borders, Thường Tín District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thường Tín District
Context triple: [Thanh Trì District, borders, Thường Tín District]
  • A. Thường Tín District chosen
    Thường Tín District is a suburban administrative district of Hanoi, Vietnam, known for its traditional craft villages and developing urban-rural landscape.
  • B. Ứng Hòa District
    Ứng Hòa District is a rural administrative district located in the southern part of Hanoi, Vietnam, known for its agricultural landscape and traditional craft villages.
  • C. Đan Phượng District
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • D. Phúc Thọ District
    Phúc Thọ District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc66d7ea081908867ff494b70df1e completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108bbc090819092b76eb134aad909 completed March 11, 2026, 6:16 a.m.
Created at: March 4, 2026, 7:51 p.m.