Triple

T18311854
Position Surface form Disambiguated ID Type / Status
Subject Wuzhou E438644 entity
Predicate hasDistrict P459 FINISHED
Object Wanxiu 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: Wanxiu District | Statement: [Wuzhou, hasDistrict, Wanxiu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanxiu District
Context triple: [Wuzhou, hasDistrict, Wanxiu District]
  • A. Wanxiu District chosen
    Wanxiu District is an urban administrative district of Wuzhou City in Guangxi, China, known as one of its central built-up areas.
  • B. Wanhua District
    Wanhua District is one of Taipei’s oldest urban areas, known for its historic temples, traditional markets, and the popular shopping and entertainment area of Ximending.
  • C. Tianjia'an District
    Tianjia'an District is an urban administrative district and the central area of Huainan City in Anhui Province, China, known for its role in the region’s coal-based industrial economy.
  • D. Wanghua District
    Wanghua District is an urban district of the city of Fushun in Liaoning Province, northeastern China, known for its role in the region’s industrial and residential development.
  • E. Tianxin District
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.