Triple

T11321321
Position Surface form Disambiguated ID Type / Status
Subject Mira-Bhayandar E268099 entity
Predicate locatedOn P40 FINISHED
Object Salsette Island E54511 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: Salsette Island | Statement: [Mira-Bhayandar, locatedOn, Salsette Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salsette Island
Context triple: [Mira-Bhayandar, locatedOn, Salsette Island]
  • A. Salsette Island chosen
    Salsette Island is a densely populated island in western India that encompasses much of the Mumbai metropolitan area, including the city of Mumbai and several surrounding suburbs.
  • B. Mumbai Island
    Mumbai Island is a historic island region that forms the core part of the modern city of Mumbai on India’s western coast.
  • C. Colaba Island
    Colaba Island is a former island in Mumbai, India, now part of the city’s southern peninsula and known for its historic waterfront, colonial-era architecture, and bustling commercial and tourist districts.
  • D. Mazagaon Island
    Mazagaon Island was one of the original seven islands that later combined to form the city of Mumbai (formerly Bombay) on India’s west coast.
  • E. Vasai-Virar
    Vasai-Virar is a rapidly growing suburban city and municipal corporation in the northern part of the Mumbai metropolitan area in Maharashtra, 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543055b588190a417b3d50ade989a completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:32 p.m.