Triple

T2460821
Position Surface form Disambiguated ID Type / Status
Subject Rajasthan High Court E54528 entity
Predicate hasBenchAt P29312 FINISHED
Object Jaipur E59514 NE FINISHED

How this triple was built (3 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: [Rajasthan High Court, hasBenchAt, Jaipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaipur
Context triple: [Rajasthan High Court, hasBenchAt, 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 historic city in India renowned for its lakes, palaces, and role as a former capital of the Mewar kingdom.
  • E. Indore
    Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBenchAt
Context triple: [Rajasthan High Court, hasBenchAt, Jaipur]
  • A. hasBench chosen
    Indicates that one entity possesses, contains, or is equipped with a bench.
  • B. hasBenchType
    Indicates that an entity is associated with or characterized by a specific type or category of bench.
  • C. hasSeatAt
    Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
  • D. hasStandingArea
    Indicates that an entity includes or provides a designated area where people can stand.
  • E. hasPaddock
    Indicates that one entity possesses or is associated with a specific paddock area or enclosure.
  • F. None of above.

Provenance (4 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_69abd49c5aa081909ab4f726a458b77f completed March 7, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7c4910819095b81e419de10566 completed March 10, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd0b199488190aa381b36593ae1ac completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:44 p.m.