Triple

T17597205
Position Surface form Disambiguated ID Type / Status
Subject Zhoushan City E428603 entity
Predicate hasDistrict P459 FINISHED
Object Dinghai 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: Dinghai District | Statement: [Zhoushan City, hasDistrict, Dinghai District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinghai District
Context triple: [Zhoushan City, hasDistrict, Dinghai District]
  • A. Dinghai District chosen
    Dinghai District is an urban district and administrative center of Zhoushan City in Zhejiang Province, China, known for its coastal location and maritime economy.
  • B. Jiaojiang District
    Jiaojiang District is the central urban district and administrative seat of Taizhou in Zhejiang Province, China, known as the city’s political, economic, and cultural hub.
  • C. Funing District
    Funing District is an administrative district under the jurisdiction of Qinhuangdao City in Hebei Province, China, known for its mix of urban areas and surrounding rural landscapes.
  • D. Haizhou District
    Haizhou District is an urban district that serves as the central administrative area of the city of Fuxin in Liaoning Province, China.
  • E. Haizhou District
    Haizhou District is an urban administrative district and central area of Lianyungang City in Jiangsu 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.