Triple

T16021879
Position Surface form Disambiguated ID Type / Status
Subject Yingge District E388619 entity
Predicate locatedNear P294 FINISHED
Object Sanxia 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: Sanxia District | Statement: [Yingge District, locatedNear, Sanxia District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanxia District
Context triple: [Yingge District, locatedNear, Sanxia District]
  • A. Sanxia District chosen
    Sanxia District is a suburban and historically rich district in southwestern New Taipei City, Taiwan, known for its old street, traditional architecture, and surrounding natural scenery.
  • B. Tongguan District
    Tongguan District is an urban administrative district within Tongling City in Anhui Province, eastern China, known for its role in the region’s industrial and economic activities.
  • C. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • D. Qujiang District
    Qujiang District is an administrative urban district under the jurisdiction of Quzhou City in Zhejiang Province, China.
  • E. Zhanqian District
    Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18323fc0881908bab7126d9ccf67d completed April 17, 2026, 12:47 a.m.
Created at: April 10, 2026, 4:55 a.m.