Triple

T1464859
Position Surface form Disambiguated ID Type / Status
Subject Bombay Island E26998 entity
Predicate partOf P40 FINISHED
Object Mumbai City district E9753 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: Mumbai City district | Statement: [Bombay Island, partOf, Mumbai City district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mumbai City district
Context triple: [Bombay Island, partOf, Mumbai City district]
  • A. Mumbai Metropolitan Region
    The Mumbai Metropolitan Region is a vast urban agglomeration in western India centered on Mumbai, encompassing the city and its surrounding suburbs and satellite towns.
  • B. Mumbai Suburban district
    Mumbai Suburban district is a densely populated administrative district of Maharashtra that encompasses much of the northern and western suburban areas of Mumbai.
  • C. Mumbai chosen
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • D. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • E. Municipal Corporation of Greater Mumbai
    The Municipal Corporation of Greater Mumbai is the civic governing body responsible for administering and providing public services and infrastructure across the city 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5ba2d5c81909ee85713de961fcb completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad680440dc8190ad28ec47c5a35d28 completed March 8, 2026, 12:13 p.m.
Created at: March 1, 2026, 8:01 p.m.