Triple

T11480043
Position Surface form Disambiguated ID Type / Status
Subject Kuroshio limited express E272119 entity
Predicate safetySystem P840 FINISHED
Object ATS-P E541201 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: ATS-P | Statement: [Kuroshio limited express, safetySystem, ATS-P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATS-P
Context triple: [Kuroshio limited express, safetySystem, ATS-P]
  • A. ATS-P chosen
    ATS-P is an advanced Japanese train protection and automatic train stop system that provides continuous speed supervision and enhances railway safety on lines such as those using the E233 series EMU.
  • B. ATS-PF
    ATS-PF is a Japanese automatic train stop and protection system used to enhance operational safety on railway lines such as the Kure Line.
  • C. ATS
    ATS is the abbreviation for the Auxiliary Territorial Service, the women's branch of the British Army during the Second World War.
  • D. ATS
    ATS is a North American accrediting and membership organization for graduate schools of theology and ministry.
  • E. ATS
    ATS is an automatic train protection system used to enhance the operational safety of the ITX-Saemaeul passenger trains.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9738db08190a0bde8ff515733e4 completed April 20, 2026, 8:53 a.m.
Created at: April 8, 2026, 9:36 p.m.