Triple

T11971390
Position Surface form Disambiguated ID Type / Status
Subject Powai E284926 entity
Predicate nearbyArea P2064 FINISHED
Object Vikhroli E332315 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: Vikhroli | Statement: [Powai, nearbyArea, Vikhroli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vikhroli
Context triple: [Powai, nearbyArea, Vikhroli]
  • A. Vikhroli chosen
    Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
  • 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. Belapur
    Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
  • E. Borivali
    Borivali is a suburban residential and commercial neighborhood in the northwestern part of Mumbai, India, known for its connectivity and proximity to the Sanjay Gandhi National Park.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037d32e88190b1509285dc907d29 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7941721d08190900ca872503055db completed May 3, 2026, 6:29 p.m.
Created at: April 8, 2026, 9:46 p.m.