Triple

T12229839
Position Surface form Disambiguated ID Type / Status
Subject Central MTR station E291444 entity
Predicate operator P179 FINISHED
Object MTR Corporation E338342 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: MTR Corporation | Statement: [Central MTR station, operator, MTR Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTR Corporation
Context triple: [Central MTR station, operator, MTR Corporation]
  • A. MTR Corporation chosen
    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.
  • 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. MTR Nordic
    MTR Nordic is a Swedish public transport company that operates and manages rail and metro services, including the Stockholm metro, as part of the global MTR Corporation group.
  • D. Shenzhen Metro Group
    Shenzhen Metro Group is the state-owned company responsible for constructing, operating, and managing the urban rail transit network in Shenzhen, China.
  • E. Kai Tak Investment Company
    Kai Tak Investment Company was a Hong Kong-based firm whose involvement in early land development and aviation projects led to the city’s former international airport bearing its name.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca34fe88190900c8791c70948b7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aad2d488190ba36588e3376ca1a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.