Triple

T8173736
Position Surface form Disambiguated ID Type / Status
Subject Guangfo Line E190888 entity
Predicate partOf P40 FINISHED
Object Foshan Metro E192383 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: Foshan Metro | Statement: [Guangfo Line, partOf, Foshan Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foshan Metro
Context triple: [Guangfo Line, partOf, Foshan Metro]
  • A. Foshan Metro chosen
    Foshan Metro is the urban rapid transit system serving Foshan in Guangdong Province, China, integrated with the Guangzhou Metro to form a larger intercity rail network in the Pearl River Delta.
  • B. Guangzhou Metro
    Guangzhou Metro is the rapid transit system serving Guangzhou, China, forming one of the country’s largest and busiest urban rail networks.
  • C. Guangzhou Metro Line 22
    Guangzhou Metro Line 22 is a high-speed rapid transit line in Guangzhou designed to provide fast regional connections between major transport hubs and urban districts.
  • D. Guangzhou Metro Line 14
    Guangzhou Metro Line 14 is a rapid transit line in the Guangzhou Metro system that connects the city’s northern suburban districts with the urban core.
  • E. Shenzhen Metro
    Shenzhen Metro is the rapid transit system serving the city of Shenzhen, China, known for its extensive, modern network and role in supporting the region’s fast-paced urban 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb48092b348190a37cb3746a434094 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf421875f88190a005c3ffba04dffe completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 5:40 p.m.