Triple

T20075957
Position Surface form Disambiguated ID Type / Status
Subject Gandhinagar Capital railway station E499862 entity
Predicate connectedTo P37 FINISHED
Object Jaipur 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: Jaipur | Statement: [Gandhinagar Capital railway station, connectedTo, Jaipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaipur
Context triple: [Gandhinagar Capital railway station, connectedTo, Jaipur]
  • A. Jaipur chosen
    Jaipur is a major historic city in northwestern India, famed for its pink-hued architecture, royal palaces, and role as a key cultural and tourist center.
  • B. Jodhpur
    Jodhpur is a historic city in the Indian state of Rajasthan, renowned for its blue-painted old town, imposing Mehrangarh Fort, and role as a major cultural and commercial center on the edge of the Thar Desert.
  • C. Udaipur
    Udaipur is a historic town in the Indian state of Tripura, known for its ancient temples and scenic lakes.
  • D. Udaipur
    Udaipur is a town in the Lahaul and Spiti district of Himachal Pradesh, India, known for its scenic Himalayan setting and the ancient Mrikula Devi Temple.
  • E. Udaipur
    Udaipur is a historic city in India renowned for its lakes, palaces, and role as a former capital of the Mewar kingdom.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643bcfd48190893abd3734f15cd3 completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.