Triple

T10728650
Position Surface form Disambiguated ID Type / Status
Subject ATS E253014 entity
Predicate hasAbbreviation P43 FINISHED
Object ATS unclear NED1 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: [ATS, hasAbbreviation, ATS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATS
Context triple: [ATS, hasAbbreviation, 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
    ATS is an automatic train protection system used to enhance the operational safety of the ITX-Saemaeul passenger trains.
  • E. ATS-P
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc92a18819089cc67afee1c9b96 completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22a97fec8190bb97f68353c2144e completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.