Triple

T9816499
Position Surface form Disambiguated ID Type / Status
Subject Shangluo E238418 entity
Predicate containsAdministrativeDivision P747 FINISHED
Object Shangzhou District E871480 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: Shangzhou District | Statement: [Shangluo, containsAdministrativeDivision, Shangzhou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shangzhou District
Context triple: [Shangluo, containsAdministrativeDivision, Shangzhou District]
  • A. Shangzhou District chosen
    Shangzhou District is an urban administrative district in Shangluo, Shaanxi Province, China, serving as the city's political and economic center.
  • B. Zhengxiang District
    Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
  • C. Hecheng District
    Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
  • D. Yantan District
    Yantan District is an urban administrative district of Zigong, a prefecture-level city in Sichuan 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f4a1548190a5afc5ee0d7da392 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94aceb7108190beeec78587c04161 completed April 10, 2026, 7:09 p.m.
Created at: March 30, 2026, 8:30 p.m.