Triple

T15259949
Position Surface form Disambiguated ID Type / Status
Subject Kintetsu 7020 series E364747 entity
Predicate safetySystem P840 FINISHED
Object ATS E716384 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 | Statement: [Kintetsu 7020 series, safetySystem, ATS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATS
Context triple: [Kintetsu 7020 series, safetySystem, ATS]
  • A. ATS
    ATS is the abbreviation for the Auxiliary Territorial Service, the women's branch of the British Army during the Second World War.
  • B. ATS
    ATS is the Antarctic Treaty Secretariat, the international body that supports and coordinates the implementation of the Antarctic Treaty System among its member countries.
  • C. ATS
    ATS is a North American accrediting and membership organization for graduate schools of theology and ministry.
  • D. ATS chosen
    ATS is an automatic train protection system used to enhance the operational safety of the ITX-Saemaeul passenger trains.
  • E. ATS
    ATS is the American Thoracic Society, a leading professional organization focused on advancing research, education, and clinical care in pulmonary, critical care, and sleep medicine.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084d11148190919eef8e55569bb9 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f9a0708190bc429692788a63d7 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.