Triple

T10154125
Position Surface form Disambiguated ID Type / Status
Subject Weinan E232726 entity
Predicate hasAdministrativeSeat P1474 FINISHED
Object Linwei District E895781 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: Linwei District | Statement: [Weinan, hasAdministrativeSeat, Linwei District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linwei District
Context triple: [Weinan, hasAdministrativeSeat, Linwei District]
  • A. Linwei District chosen
    Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic area.
  • B. Xiuying District
    Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
  • C. Linzi District
    Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
  • D. Zhifu District
    Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
  • E. Zhanyi District
    Zhanyi District is an administrative district under the jurisdiction of Qujing City in Yunnan Province, China, known for its role in regional agriculture and transportation.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec38f594819088a7eb73fc25feff completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d62cce008190ae269bbd289625a0 completed April 18, 2026, 12:54 a.m.
Created at: March 30, 2026, 9:08 p.m.