Triple

T17982535
Position Surface form Disambiguated ID Type / Status
Subject Ambala Cantonment E449635 entity
Predicate railwayStationCode P1289 FINISHED
Object UMB NE NERFINISHED

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: UMB | Statement: [Ambala Cantonment, railwayStationCode, UMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMB
Context triple: [Ambala Cantonment, railwayStationCode, UMB]
  • A. UMB chosen
    UMB is the Indian Railways station code for Ambala Cantonment, a major railway junction in Haryana, India.
  • B. UMB
    UMB is the commonly used abbreviation for Matej Bel University, a public higher education institution in Banská Bystrica, Slovakia.
  • C. UMB
    UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
  • D. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • E. UM
    UM is the IATA airline designator assigned to Air Zimbabwe, the national carrier of Zimbabwe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b297b7108190a676409b330ca23b completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:22 a.m.