Triple

T1944924
Position Surface form Disambiguated ID Type / Status
Subject Thanh Xuân District E42039 entity
Predicate hasWard P14475 FINISHED
Object Thanh Xuân Bắc Ward E220522 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: Thanh Xuân Bắc Ward | Statement: [Thanh Xuân District, hasWard, Thanh Xuân Bắc Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thanh Xuân Bắc Ward
Context triple: [Thanh Xuân District, hasWard, Thanh Xuân Bắc Ward]
  • A. Thanh Xuân Bắc Ward chosen
    Thanh Xuân Bắc Ward is an urban administrative ward located within Thanh Xuân District in Hanoi, Vietnam.
  • B. Thanh Xuân District
    Thanh Xuân District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
  • C. Trung Hòa Ward
    Trung Hòa Ward is an urban administrative subdivision of Hanoi, Vietnam, known as a residential and commercial area within the city's Cầu Giấy District.
  • D. Hoàng Mai District
    Hoàng Mai District is an urban district of Hanoi, Vietnam, known as one of the city’s most populous and rapidly developing residential and commercial areas.
  • E. Nghĩa Đô Ward
    Nghĩa Đô Ward is an urban administrative ward located within Hanoi, Vietnam, known as part of the Cầu Giấy District.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2ff43108190af37ad12d123dcba completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03180a248190a0df96066923728a completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.