Triple

T37113873
Position Surface form Disambiguated ID Type / Status
Subject Mira Road railway station E919065 entity
Predicate hasNearbyMunicipalCorporation P202267 FINISHED
Object Mira-Bhayandar Municipal Corporation NE NERFINISHED

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: Mira-Bhayandar Municipal Corporation | Statement: [Mira Road railway station, hasNearbyMunicipalCorporation, Mira-Bhayandar Municipal Corporation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyMunicipalCorporation
Context triple: [Mira Road railway station, hasNearbyMunicipalCorporation, Mira-Bhayandar Municipal Corporation]
  • A. isMunicipalCorporationOf
    Indicates that an entity functions as the municipal governing body responsible for administering and managing the affairs of a specified city or urban area.
  • B. partOfMunicipalCorporation chosen
    Indicates that an entity is administratively included within, and governed as a subdivision of, a specific municipal corporation.
  • C. isMunicipalityNear
    Indicates that one municipality is located close to another municipality or geographic reference point.
  • D. locatedNearGovernmentDistrict
    Indicates that one entity is situated close to or in the immediate vicinity of a government district.
  • E. hasMunicipalitySeatNearby
    Indicates that the municipality’s administrative seat is located in close proximity to the referenced place or entity.
  • F. None of above.

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_69f76e9c57148190ba789dd059645bb9 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a00868083b081909afc3d8d4ad56b43 completed May 10, 2026, 1:22 p.m.
PD Predicate disambiguation batch_6a0084f5f72c8190b08afa82690e322a completed May 10, 2026, 1:15 p.m.
Created at: May 3, 2026, 4:15 p.m.