Triple

T38125272
Position Surface form Disambiguated ID Type / Status
Subject Maratha military leadership at Panipat E952049 entity
Predicate cavalryCommander P68449 FINISHED
Object Malhar Rao Holkar 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: Malhar Rao Holkar | Statement: [Maratha military leadership at Panipat, cavalryCommander, Malhar Rao Holkar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cavalryCommander
Context triple: [Maratha military leadership at Panipat, cavalryCommander, Malhar Rao Holkar]
  • A. hasCavalryRole
    Indicates that an entity serves in, is assigned to, or performs duties associated with a cavalry role.
  • B. UnionCavalryCommander
    Indicates that the subject serves as a commander of cavalry forces for the Union side in a conflict.
  • C. capturedCommander
    Indicates that one party has taken a military commander from another party into custody or control.
  • D. commandersSide
    Indicates that one entity is on the same side, faction, or team as the commander in a conflict or competitive context.
  • E. sideCommander chosen
    Indicates that an entity serves as the commanding officer or leader in charge of a particular side or faction in a conflict, operation, or organization.
  • 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_69f76f083548819082bd2bbf53c79e8e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc4748843c8190931432653be4890c completed May 7, 2026, 8:03 a.m.
PD Predicate disambiguation batch_69fc45646ce481908caf292ff9f06e15 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:21 p.m.