Triple

T23414450
Position Surface form Disambiguated ID Type / Status
Subject Kuan Alley E560164 entity
Predicate locatedIn P40 FINISHED
Object Qingyang 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: Qingyang District | Statement: [Kuan Alley, locatedIn, Qingyang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qingyang District
Context triple: [Kuan Alley, locatedIn, Qingyang District]
  • A. Qingyang District chosen
    Qingyang District is a central urban district of Chengdu, Sichuan Province, known as the city’s political, cultural, and commercial core.
  • B. Shangzhou District
    Shangzhou District is an urban administrative district in Shangluo, Shaanxi Province, China, serving as the city's political and economic center.
  • C. Longhai District
    Longhai District is an urban district under the administration of Zhangzhou in Fujian Province, southeastern China, known for its coastal location and role in regional trade and industry.
  • D. Tianyang District
    Tianyang District is an administrative district under the jurisdiction of Baise City in the Guangxi Zhuang Autonomous Region of southern China.
  • E. Yantan District
    Yantan District is an urban administrative district of Zigong, a prefecture-level city in Sichuan 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.