Triple

T35715092
Position Surface form Disambiguated ID Type / Status
Subject Rao Maldeo E1031980 entity
Predicate fortControlled P4700 FINISHED
Object Mehrangarh Fort 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: Mehrangarh Fort | Statement: [Rao Maldeo, fortControlled, Mehrangarh Fort]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fortControlled
Context triple: [Rao Maldeo, fortControlled, Mehrangarh Fort]
  • A. endedControlOf
    Indicates that one entity has ceased to exercise authority, influence, or governance over another entity or domain.
  • B. controlledIn
    Indicates that one entity exercised control, authority, or governance over another entity within a specific context or domain.
  • C. isControlledUnder
    Indicates that one entity is subject to regulatory, legal, or authoritative control exercised by another entity or governing framework.
  • D. affectedControlOf
    Indicates that one entity has influenced, altered, or impacted the degree of control another entity has over something.
  • E. controlled chosen
    Indicates that one entity has power, authority, or influence to direct, regulate, or determine the behavior, actions, or state of another 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_69f76e0df1d08190965b1c6dff94c391 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:05 p.m.