Triple

T10404991
Position Surface form Disambiguated ID Type / Status
Subject Bell MTS E245238 entity
Predicate abbreviation P43 FINISHED
Object MTS E861828 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: MTS | Statement: [Bell MTS, abbreviation, MTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTS
Context triple: [Bell MTS, abbreviation, MTS]
  • A. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • B. MTS chosen
    MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
  • C. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • D. MPTS
    MPTS is the independent body in the UK responsible for overseeing fitness-to-practise hearings and decisions for doctors registered with the General Medical Council.
  • E. MBTS
    MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e5fb58819081d7d3e1dc625197 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9084fc81909e1d46a111a1ef2b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:08 p.m.