Triple

T2460182
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Suburban Railway E54514 entity
Predicate hasStation P35 FINISHED
Object Kurla E274832 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: Kurla | Statement: [Mumbai Suburban Railway, hasStation, Kurla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurla
Context triple: [Mumbai Suburban Railway, hasStation, Kurla]
  • A. Kurla chosen
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • B. Dadar
    Dadar is a major commercial and residential neighborhood in central Mumbai, India, known as a key transit hub and marketplace in the city.
  • C. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • D. Powai
    Powai is a prominent suburban neighborhood in Mumbai, India, known for Powai Lake, major residential and commercial developments, and the Indian Institute of Technology Bombay.
  • E. Panvel
    Panvel is a major railway and commercial hub in Navi Mumbai, Maharashtra, serving as an important junction and gateway between Mumbai and the wider Konkan region.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10ba66481909580e994b22fd406 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf36e2848190a03ca375d802241c completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:44 p.m.