Triple

T8235531
Position Surface form Disambiguated ID Type / Status
Subject Chifeng E192395 entity
Predicate hasSubdivision P747 FINISHED
Object Hongshan District E752629 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: Hongshan District | Statement: [Chifeng, hasSubdivision, Hongshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hongshan District
Context triple: [Chifeng, hasSubdivision, Hongshan District]
  • A. Hongshan District
    Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
  • B. Hongshan District chosen
    Hongshan District is the central urban district and administrative seat of the prefecture-level city of Chifeng in Inner Mongolia, China.
  • C. Honggu District
    Honggu District is an administrative urban district of Lanzhou in Gansu Province, China, known for its role in the city's industrial and resource-based development.
  • D. Tieshan District
    Tieshan District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China, known for its industrial and mining activities.
  • E. Jinyuan District
    Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782931848190bcc54622f34e06a7 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf422648208190beaa6eaef4173f21 completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 5:46 p.m.