Triple

T36500566
Position Surface form Disambiguated ID Type / Status
Subject Battle of Tedorigawa E899312 entity
Predicate numericalSuperiority P185774 FINISHED
Object Oda forces outnumbered Uesugi forces 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: Oda forces outnumbered Uesugi forces | Statement: [Battle of Tedorigawa, numericalSuperiority, Oda forces outnumbered Uesugi forces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numericalSuperiority
Context triple: [Battle of Tedorigawa, numericalSuperiority, Oda forces outnumbered Uesugi forces]
  • A. airSuperiorityContribution
    Indicates the extent to which an entity contributes to achieving or maintaining control of the airspace over a given area or conflict.
  • B. combatantStrength
    Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
  • C. commandingForceSize
    Indicates the size or magnitude of the military or organizational force that is exercising command or control in a given context.
  • D. commandingForce2Strength
    Indicates that a commanding force possesses or exerts a particular level or measure of strength.
  • E. primaryOpposingForceSize
    Indicates the size or magnitude of the main opposing force acting against a subject in a given context.
  • 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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1b91fd88190ab85afd626603769 completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c3705b5c81908c84004543a71c07 completed May 3, 2026, 9:51 p.m.
Created at: May 3, 2026, 4:10 p.m.