Triple

T12147289
Position Surface form Disambiguated ID Type / Status
Subject Changzhou Metro E289357 entity
Predicate serves P98 FINISHED
Object Tianning District E331860 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: Tianning District | Statement: [Changzhou Metro, serves, Tianning District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianning District
Context triple: [Changzhou Metro, serves, Tianning District]
  • A. Tianning District chosen
    Tianning District is an urban administrative district of Changzhou in Jiangsu Province, China, known for its historic temples and commercial centers.
  • B. Binhu District
    Binhu District is an urban district of Wuxi in Jiangsu Province, China, known for its lakeside scenery along Taihu Lake and its role as a key residential and economic area of the city.
  • C. Longquanyi District
    Longquanyi District is an urban district of Chengdu in Sichuan Province, China, known for its rapid development and sports facilities.
  • D. Wanli District
    Wanli District is a coastal rural district in northern Taiwan known for its hot springs, scenic seashore, and unique rock formations such as those at Yehliu Geopark.
  • 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 (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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65556e718819092736cd89c326fb5 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:49 p.m.