Triple

T2460011
Position Surface form Disambiguated ID Type / Status
Subject Salsette Island E54511 entity
Predicate contains P35 FINISHED
Object Andheri E271212 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: [Salsette Island, contains, Andheri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andheri
Context triple: [Salsette Island, contains, Andheri]
  • A. Bandra
    Bandra is a prominent coastal suburb of Mumbai known for its upscale neighborhoods, vibrant nightlife, historic churches, and seaside promenades.
  • B. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • C. Mira-Bhayandar
    Mira-Bhayandar is a rapidly growing suburban city in the Mumbai Metropolitan Region of Maharashtra, India, known for its residential townships and industrial areas.
  • D. Jogeshwari chosen
    Jogeshwari is a densely populated suburban neighborhood in western Mumbai, known for its residential areas, commercial activity, and connectivity via the Western Railway and major arterial roads.
  • E. Triplicane
    Triplicane is one of Chennai’s oldest and most densely populated residential and commercial neighborhoods, known for its historic temples, colleges, and proximity to Marina Beach.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10ba66481909580e994b22fd406 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f84e1a481908fa67498f2bd1984 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:44 p.m.