Triple

T15846481
Position Surface form Disambiguated ID Type / Status
Subject Zhongxiao Bridge E384227 entity
Predicate connects P390 FINISHED
Object Datong District E690713 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: Datong District | Statement: [Zhongxiao Bridge, connects, Datong District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datong District
Context triple: [Zhongxiao Bridge, connects, Datong District]
  • A. Datong District chosen
    Datong District is an urban administrative district under the jurisdiction of Huainan City in Anhui Province, China, known for its role in the region’s coal industry and urban development.
  • 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. Dongsheng District
    Dongsheng District is the central urban district and administrative hub of Ordos City in Inner Mongolia, China.
  • D. Yongnian District
    Yongnian District is an administrative district under the jurisdiction of Handan City in Hebei Province, China, known for its historical and cultural significance.
  • 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 (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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a047123a0408190b03850b3a8942e87 completed May 13, 2026, 12:40 p.m.
Created at: April 10, 2026, 4:50 a.m.