Triple

T4541984
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Metro E107554 entity
Predicate operator P179 FINISHED
Object Shenzhen Metro Group E432232 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: Shenzhen Metro Group | Statement: [Shenzhen Metro, operator, Shenzhen Metro Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shenzhen Metro Group
Context triple: [Shenzhen Metro, operator, Shenzhen Metro Group]
  • A. Shenzhen Metro Group chosen
    Shenzhen Metro Group is the state-owned company responsible for constructing, operating, and managing the urban rail transit network in Shenzhen, China.
  • B. Beijing MTR Corporation Limited
    Beijing MTR Corporation Limited is a joint-venture rail transit company responsible for operating and managing several lines of the Beijing Subway system.
  • C. Shanghai Shentong Metro Group
    Shanghai Shentong Metro Group is the state-owned company responsible for operating and managing Shanghai’s urban rapid transit network.
  • D. Beijing Mass Transit Railway Operation Corporation Limited
    Beijing Mass Transit Railway Operation Corporation Limited is a state-owned company responsible for operating and managing much of the Beijing Subway system.
  • E. MTR Corporation
    MTR Corporation is a Hong Kong-based public transport company best known for operating the city’s mass transit railway network and related property and infrastructure businesses.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d219d88190a67ada845323d7fb completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb926f2608190bdc6379e81358c38 completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:04 p.m.