Triple

T9293984
Position Surface form Disambiguated ID Type / Status
Subject SRT high-speed rail E223592 entity
Predicate operatedBy P86 FINISHED
Object SR Corporation E716387 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: SR Corporation | Statement: [SRT high-speed rail, operatedBy, SR Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR Corporation
Context triple: [SRT high-speed rail, operatedBy, SR Corporation]
  • A. SR Co., Ltd. chosen
    SR Co., Ltd. is a South Korean railway company best known for operating high-speed SRT train services connecting major cities including the Busan area.
  • B. Carrier Corporation
    Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
  • C. Shin Corporation
    Shin Corporation is a major Thai telecommunications and media conglomerate closely associated with former Prime Minister Thaksin Shinawatra’s business empire.
  • D. CSR Corporation Limited
    CSR Corporation Limited was a major Chinese state-owned rolling stock manufacturer that later merged to form CRRC Corporation, one of the world’s largest train and rail equipment producers.
  • E. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd089a2ed0819086b2e4219ff2453e completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c766fb408190a9f073f033652b6f completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:35 p.m.