Triple

T24015539
Position Surface form Disambiguated ID Type / Status
Subject Battle of Asal Uttar E594661 entity
Predicate AbdulHamidAction P154875 FINISHED
Object destroyed multiple Pakistani Patton tanks LITERAL FINISHED

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: destroyed multiple Pakistani Patton tanks | Statement: [Battle of Asal Uttar, AbdulHamidAction, destroyed multiple Pakistani Patton tanks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: AbdulHamidAction
Context triple: [Battle of Asal Uttar, AbdulHamidAction, destroyed multiple Pakistani Patton tanks]
  • A. hasImam
    Indicates that an entity is associated with, led by, or served by a particular imam in a religious or community context.
  • B. المالك
    Indicates a relationship where one entity is the owner or possessor of another entity.
  • C. ArabCommander
    Indicates that the subject serves as a military commander associated with Arab forces or entities.
  • D. MamlukCommander
    Indicates that an entity serves as a military commander within the Mamluk political or military structure in relation to another entity or context.
  • E. hadInteriorMinister
    Indicates that a country or governing body had a specific person serving in the role of interior minister.
  • 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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d5a32374819094dcb42abf18c033 completed April 29, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
PDg Predicate description generation batch_69f17c28b684819084eea522126463f8 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 9:42 p.m.