Triple

T14225035
Position Surface form Disambiguated ID Type / Status
Subject Navi Mumbai E352594 entity
Predicate hasRailwayStation P918 FINISHED
Object Vashi railway station E919108 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: Vashi railway station | Statement: [Navi Mumbai, hasRailwayStation, Vashi railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vashi railway station
Context triple: [Navi Mumbai, hasRailwayStation, Vashi railway station]
  • A. Vashi railway station chosen
    Vashi railway station is a major suburban rail hub in Navi Mumbai, India, serving as an important commuter and commercial center on the Mumbai Suburban Railway network.
  • B. Masala railway station
    Masala railway station is a commuter rail station serving the Masala district in the municipality of Kirkkonummi, Finland.
  • C. Landhi Railway Station
    Landhi Railway Station is a major railway hub in the Landhi area of Karachi, Pakistan, serving as an important stop for intercity and commuter train services.
  • D. Parnas railway station
    Parnas railway station is a passenger railway station serving the Parnas area in the Vyborgsky District of Saint Petersburg, Russia.
  • E. Mankhurd railway station
    Mankhurd railway station is a suburban rail stop on Mumbai’s Harbour Line serving the Mankhurd area in the eastern part of the city.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6228e53c8190abbe4e2d88a7362a completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281611b48190b787e38ba9c733a4 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.