Triple

T15735924
Position Surface form Disambiguated ID Type / Status
Subject Huludao E381470 entity
Predicate hasSubdivision P747 FINISHED
Object Lianshan District NE NERFINISHED

How this triple was built (3 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: Lianshan District | Statement: [Huludao, hasSubdivision, Lianshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lianshan District
Context triple: [Huludao, hasSubdivision, Lianshan District]
  • A. Mingshan District
    Mingshan District is an urban administrative district of the city of Benxi in Liaoning Province, northeastern China.
  • B. Jiancaoping District
    Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
  • C. Fengnan District
    Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
  • D. Shunqing District
    Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
  • E. Yushui District
    Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lianshan District
Target entity description: Lianshan District is an urban administrative district of Huludao City in Liaoning Province, northeastern China.
  • A. Mingshan District
    Mingshan District is an urban administrative district of the city of Benxi in Liaoning Province, northeastern China.
  • B. Jiancaoping District
    Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
  • C. Fengnan District
    Fengnan District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
  • D. Shunqing District
    Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
  • E. Yushui District
    Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, China.
  • F. None of above. chosen

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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 4:46 a.m.