Triple

T20181678
Position Surface form Disambiguated ID Type / Status
Subject Shenyang Metro E492741 entity
Predicate hasLine P35 FINISHED
Object Shenyang Metro Line 1 NE NERFINISHED

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: Shenyang Metro Line 1 | Statement: [Shenyang Metro, hasLine, Shenyang Metro Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenyang Metro Line 1
Context triple: [Shenyang Metro, hasLine, Shenyang Metro Line 1]
  • A. Shenyang Metro chosen
    Shenyang Metro is the rapid transit system serving the city of Shenyang, China, providing urban rail transportation across multiple lines and key hubs.
  • B. Dalian Metro
    Dalian Metro is the rapid transit system serving the coastal city of Dalian in Liaoning Province, China, providing urban and suburban rail transportation.
  • C. Harbin Metro
    Harbin Metro is the rapid transit system serving the city of Harbin in northeastern China, providing urban rail transportation across the metropolitan area.
  • D. Changchun Rail Transit
    Changchun Rail Transit is the urban rapid transit system serving Changchun, China, comprising multiple metro and light rail lines that connect key districts across the city.
  • E. Tianjin Metro Line 1
    Tianjin Metro Line 1 is a major rapid transit line in Tianjin, China, forming part of the city's primary urban rail network and connecting key residential and commercial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ef9370819091a8479f811002a9 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.