Triple

T11321490
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Central E268103 entity
Predicate operator P179 FINISHED
Object Western Railway E919070 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: Western Railway | Statement: [Mumbai Central, operator, Western Railway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Railway
Context triple: [Mumbai Central, operator, Western Railway]
  • A. Western Railway chosen
    Western Railway is one of the major zones of Indian Railways, operating a key network of suburban and long-distance train services across western India.
  • B. South Central Railway
    South Central Railway is one of the zones of Indian Railways, responsible for operating and managing rail services across parts of southern and central India.
  • C. Eastern Railway
    Eastern Railway is one of the major zones of Indian Railways, operating extensive rail services primarily across eastern India.
  • D. Northern Railway
    Northern Railway is one of the largest zones of Indian Railways, overseeing extensive rail operations and infrastructure across northern India.
  • E. Northern Railway
    Northern Railway is a major rail network in Russia that serves the northern regions, including the Yamalo-Nenets Autonomous Okrug, supporting both passenger and freight transportation in harsh Arctic conditions.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543055b588190a417b3d50ade989a completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:32 p.m.