Triple

T7806927
Position Surface form Disambiguated ID Type / Status
Subject Harbin E180578 entity
Predicate hasDistrict P459 FINISHED
Object Pingfang District E455178 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: Pingfang District | Statement: [Harbin, hasDistrict, Pingfang District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pingfang District
Context triple: [Harbin, hasDistrict, Pingfang District]
  • A. Pingfang District chosen
    Pingfang District is an area of Harbin, China, historically notorious as the site of the Imperial Japanese Army’s Unit 731 biological warfare and human experimentation facilities during World War II.
  • B. Pingzhen District
    Pingzhen District is an urban district in northern Taiwan known as part of the rapidly developing Taoyuan metropolitan area.
  • 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. Zhifu District
    Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
  • E. Baohe District
    Baohe District is an urban district of Hefei, the capital of Anhui Province in eastern China, known for its central location and mix of commercial, residential, and historic areas.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf639fba88190a7c117aab19c0b0f completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a3bd2e481908e3d3906755b5b7a completed March 31, 2026, 5:23 a.m.
Created at: March 30, 2026, 4:35 p.m.