Triple

T6445218
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 7 E138324 entity
Predicate connectsDistrict P2564 FINISHED
Object Hongshan District E69519 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: [Wuhan Metro Line 7, connectsDistrict, Hongshan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hongshan District
Context triple: [Wuhan Metro Line 7, connectsDistrict, Hongshan District]
  • A. Hongshan District chosen
    Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
  • B. 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.
  • C. 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.
  • D. Jinyuan District
    Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
  • E. Xiangfang District
    Xiangfang District is an urban district of Harbin in Heilongjiang Province, China, known for its industrial base and role in the city's economic development.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698d866c81909ef3e0a53833ff7d completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6002b48190a3c95b704e700c56 completed March 28, 2026, 10:28 a.m.
Created at: March 22, 2026, 4:46 p.m.