Triple

T11321874
Position Surface form Disambiguated ID Type / Status
Subject Central Line (Mumbai Suburban Railway) E268112 entity
Predicate hasStation P35 FINISHED
Object Badlapur E707993 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: Badlapur | Statement: [Central Line (Mumbai Suburban Railway), hasStation, Badlapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badlapur
Context triple: [Central Line (Mumbai Suburban Railway), hasStation, Badlapur]
  • A. Badlapur chosen
    Badlapur is a rapidly developing suburban city in Maharashtra, India, known for its residential growth and rail connectivity to Mumbai.
  • B. Mirzapur
    Mirzapur is a city in the Indian state of Uttar Pradesh, known for its carpet and brassware industries and its location on the banks of the Ganges River.
  • C. Mumbai mafia
    The Mumbai mafia is a network of organized crime syndicates based in Mumbai, India, involved in activities such as extortion, smuggling, contract killings, and illegal real estate operations.
  • D. Kaithi
    Kaithi is a 2019 Tamil-language action thriller film centered on an ex-convict’s overnight mission to save poisoned police officers while evading ruthless criminals.
  • E. Kaithi
    Kaithi is a historical Brahmic script from northern India that was used to write several Indo-Aryan languages, including Bhojpuri, Magahi, and Maithili.
  • 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_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.