Triple

T25232304
Position Surface form Disambiguated ID Type / Status
Subject Tughlaq invasion of Warangal E632246 entity
Predicate targetedPolity P162571 FINISHED
Object Kakatiya kingdom of Warangal 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: Kakatiya kingdom of Warangal | Statement: [Tughlaq invasion of Warangal, targetedPolity, Kakatiya kingdom of Warangal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetedPolity
Context triple: [Tughlaq invasion of Warangal, targetedPolity, Kakatiya kingdom of Warangal]
  • A. targetedPolicy
    Indicates that a policy is specifically directed at, or designed to affect, a particular subset of entities rather than applying broadly.
  • B. governingBodyTargeted
    Indicates that an action or event is specifically directed at, aimed at, or intended to affect a governing body.
  • C. politicalEntityConstrained
    Indicates that a political entity is subject to limitations, restrictions, or control imposed by another actor, rule, or condition.
  • D. targetedPolitician
    Indicates that one entity has directed political attacks, criticism, or strategic focus toward a specific politician.
  • E. targetConstituency
    Indicates that something is directed toward, intended for, or affects a particular constituency or group of stakeholders.
  • F. None of above. chosen

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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f62b9e5ba88190a3c0d46edec7afe7 completed May 2, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69f623a4e1048190bbb8dd1253fdcee9 completed May 2, 2026, 4:17 p.m.
PDg Predicate description generation batch_69f627ad6d4c81909796d39d78e414f9 completed May 2, 2026, 4:34 p.m.
Created at: April 21, 2026, 1:06 p.m.