Triple

T23414601
Position Surface form Disambiguated ID Type / Status
Subject Taikoo Li Chengdu E560168 entity
Predicate district P2709 FINISHED
Object Jinjiang 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: Jinjiang District | Statement: [Taikoo Li Chengdu, district, Jinjiang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinjiang District
Context triple: [Taikoo Li Chengdu, district, Jinjiang District]
  • A. Jinjiang District chosen
    Jinjiang District is a central urban district of Chengdu, China, known for its commercial vitality, dense population, and riverside cityscape.
  • B. Xinluo District
    Xinluo District is the central urban district and administrative seat of Longyan City in Fujian Province, China.
  • C. Yongding District
    Yongding District is an administrative district of Longyan in Fujian Province, China, known for its historic Hakka tulou earthen buildings and rich Hakka cultural heritage.
  • D. Yongding District
    Yongding District is the central urban district and administrative seat of Zhangjiajie City in Hunan Province, China, known as a gateway to the region’s famous karst landscapes and national parks.
  • E. Shancheng District
    Shancheng District is an urban administrative district of the prefecture-level city of Hebi in Henan Province, China.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a514b1d08190bbde2c3714c996fd completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:39 p.m.