Triple

T13957294
Position Surface form Disambiguated ID Type / Status
Subject Chembur E335697 entity
Predicate nearbyArea P2064 FINISHED
Object Trombay E935215 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: Trombay | Statement: [Chembur, nearbyArea, Trombay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trombay
Context triple: [Chembur, nearbyArea, Trombay]
  • A. Trombay chosen
    Trombay is a suburban area in eastern Mumbai, India, known for housing major industrial and research facilities, including the Bhabha Atomic Research Centre.
  • B. Mumbra
    Mumbra is a densely populated suburban area in the Thane district of Maharashtra, India, known for its largely Muslim population and rapid urban growth.
  • C. Khopoli
    Khopoli is an industrial town in Maharashtra, India, known for its manufacturing units, proximity to the Western Ghats, and location along the Mumbai–Pune route.
  • D. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • E. Dalgaon
    Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7a34f08190aa0d88b66154f268 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac8c06ec8190a6dfceab55da5b30 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:17 p.m.