Triple

T12498914
Position Surface form Disambiguated ID Type / Status
Subject Battle of Krojanty E298764 entity
Predicate opponentForcesType P99416 FINISHED
Object German motorized infantry 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: German motorized infantry | Statement: [Battle of Krojanty, opponentForcesType, German motorized infantry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opponentForcesType
Context triple: [Battle of Krojanty, opponentForcesType, German motorized infantry]
  • A. enemyForceType chosen
    Indicates that one entity is characterized as a hostile or opposing force of a specified type relative to another entity.
  • B. primaryEnemyForces
    Indicates that the related entities constitute the main opposing or hostile forces in a conflict or competitive situation.
  • C. involvedForcesType
    Indicates the type or category of forces that participate in or are associated with a given event, interaction, or situation.
  • D. hasOpposingForceType
    Indicates that one force is characterized as being of a type that opposes or counteracts another force.
  • E. strategicPartnerForces
    Indicates a formal alliance in which one force provides coordinated military or security support to another as part of a shared strategic objective.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e8a706c8190873623eab7db607d completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d41f3cc8190a3331fb9a895306f completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:57 p.m.