Triple

T11322556
Position Surface form Disambiguated ID Type / Status
Subject Harbour line (Mumbai Suburban Railway) E268128 entity
Predicate connects P390 FINISHED
Object Mumbai CST E759435 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: Mumbai CST | Statement: [Harbour line (Mumbai Suburban Railway), connects, Mumbai CST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mumbai CST
Context triple: [Harbour line (Mumbai Suburban Railway), connects, Mumbai CST]
  • A. Indian Standard Time
    Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
  • B. Mumbai CSMT chosen
    Mumbai CSMT is a historic and major railway terminus in Mumbai, India, renowned for its Victorian Gothic architecture and role as one of the country’s busiest transport hubs.
  • C. Madras Time
    Madras Time was a former local time standard used in the Madras (now Chennai) region of India before the adoption of a unified national time zone.
  • D. Mumbai Central
    Mumbai Central is a major railway terminus in Mumbai, India, serving as a key hub for long-distance and suburban train services on the Western Railway network.
  • E. Mumbai
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • 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_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.