Triple

T21028083
Position Surface form Disambiguated ID Type / Status
Subject Haidong E517991 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Ping'an 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: Ping'an District | Statement: [Haidong, hasUrbanCenter, Ping'an District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ping'an District
Context triple: [Haidong, hasUrbanCenter, Ping'an District]
  • A. Ping'an District chosen
    Ping'an District is an administrative district under the jurisdiction of Haidong City in Qinghai Province, China, known as a local political and economic center in the region.
  • B. Yuanbao District
    Yuanbao District is an urban administrative district within the city of Dandong in Liaoning Province, northeastern China.
  • C. Wanhua District
    Wanhua District is one of Taipei’s oldest urban areas, known for its historic temples, traditional markets, and the popular shopping and entertainment area of Ximending.
  • D. Pengjiang District
    Pengjiang District is the central urban district and administrative, economic, and cultural core of Jiangmen City in Guangdong Province, China.
  • 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 (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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7efda081909a4de1c389166bf2 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.