Triple

T15729744
Position Surface form Disambiguated ID Type / Status
Subject Tucheng District E381309 entity
Predicate borderedBy P224 FINISHED
Object Zhonghe 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: Zhonghe District | Statement: [Tucheng District, borderedBy, Zhonghe District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhonghe District
Context triple: [Tucheng District, borderedBy, Zhonghe District]
  • A. Zhonghe District chosen
    Zhonghe District is a densely populated urban district in southwestern New Taipei City, Taiwan, known as a major residential and commercial area within the Taipei metropolitan region.
  • B. Chengzhong District
    Chengzhong District is a central urban district of Xining, the capital city of Qinghai Province in northwest China.
  • C. Wensheng District
    Wensheng District is an urban district within the prefecture-level city of Liaoyang in Liaoning Province, northeastern China.
  • D. Chengdong District
    Chengdong District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
  • E. Xiuying District
    Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
Created at: April 10, 2026, 4:46 a.m.