Triple

T9909661
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Football Arena E185107 entity
Predicate locatedIn P40 FINISHED
Object Andheri E291700 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: Andheri | Statement: [Mumbai Football Arena, locatedIn, Andheri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andheri
Context triple: [Mumbai Football Arena, locatedIn, Andheri]
  • A. Andheri chosen
    Andheri is a major residential, commercial, and transport hub in Mumbai, India, known for its busy railway station, metro connectivity, and proximity to the city’s airports and film industry areas.
  • B. Bandra
    Bandra is a prominent coastal suburb of Mumbai known for its upscale neighborhoods, vibrant nightlife, historic churches, and seaside promenades.
  • C. 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.
  • 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. Bhandup
    Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228a405908190ad63ebd659779ed7 completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:41 p.m.