Triple

T37639416
Position Surface form Disambiguated ID Type / Status
Subject Portuguese forces of António, Prior of Crato E936573 entity
Predicate usedTypeOfForces P138231 FINISHED
Object irregular troops 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: irregular troops | Statement: [Portuguese forces of António, Prior of Crato, usedTypeOfForces, irregular troops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedTypeOfForces
Context triple: [Portuguese forces of António, Prior of Crato, usedTypeOfForces, irregular troops]
  • A. hasTypeOfForces chosen
    Indicates that one entity is associated with, or characterized by, a particular kind or category of forces.
  • B. usesForces
    Indicates that one entity applies physical, magical, or other types of forces to influence, move, or affect another entity.
  • C. typeOfForcesDirected
    Indicates that certain forces are oriented or directed toward a particular target, direction, or reference.
  • D. usesForcesFrom
    Indicates that one entity applies or derives physical forces from another entity as part of its operation or behavior.
  • E. usedForceUnder
    Indicates that one entity applied or exerted force while positioned beneath or lower than 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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbb084760c8190a1554985d3c3cb7a completed May 6, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69fbadf3cb548190ba3b7514f76b790a completed May 6, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:18 p.m.