Triple

T2486657
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Monorail E55941 entity
Predicate terminusStation P15150 FINISHED
Object Chembur E335697 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: Chembur | Statement: [Mumbai Monorail, terminusStation, Chembur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chembur
Context triple: [Mumbai Monorail, terminusStation, Chembur]
  • A. Chembur chosen
    Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
  • B. Ghatkopar
    Ghatkopar is a densely populated residential and commercial suburb in eastern Mumbai, known for its bustling markets, connectivity, and vibrant Gujarati community.
  • C. Bhandup
    Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
  • D. Vikhroli
    Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
  • E. Goregaon
    Goregaon is a prominent suburban neighborhood in Mumbai, India, known for its residential complexes, film and television studios, and growing commercial hubs.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd17705488190b90b1aa66dd25972 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261c141f88190aaf340c92499b88b completed March 12, 2026, 6:48 a.m.
Created at: March 6, 2026, 9:45 p.m.