Triple

T23520647
Position Surface form Disambiguated ID Type / Status
Subject Xi'an Rail Transit Group Co., Ltd. E574496 entity
Predicate operates P24 FINISHED
Object Xi'an Metro 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: Xi'an Metro | Statement: [Xi'an Rail Transit Group Co., Ltd., operates, Xi'an Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xi'an Metro
Context triple: [Xi'an Rail Transit Group Co., Ltd., operates, Xi'an Metro]
  • A. Xi'an Metro chosen
    Xi'an Metro is the rapid transit system serving the city of Xi'an, China, providing urban rail transportation across the metropolitan area.
  • B. Chengdu Metro
    Chengdu Metro is the rapid transit system serving Chengdu, China, providing urban rail transportation across the city and its metropolitan area.
  • C. Chongqing Metro
    Chongqing Metro is the rapid transit system serving the mountainous megacity of Chongqing, China, known for its extensive use of straddle-beam monorail lines and dramatic elevated tracks.
  • D. Shanghai Metro
    Shanghai Metro is one of the world’s largest and busiest rapid transit systems, serving the city of Shanghai with an extensive network of urban and suburban rail lines.
  • E. Beijing Subway
    The Beijing Subway is one of the world’s largest and busiest rapid transit systems, forming the backbone of public transportation in China’s capital city.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa85cb2c81908afbd0df0caeef4d completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.