Triple

T21613567
Position Surface form Disambiguated ID Type / Status
Subject Gadebusch 1712 E533372 entity
Predicate hasPrimaryCombatArm P33638 FINISHED
Object 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: infantry | Statement: [Gadebusch 1712, hasPrimaryCombatArm, infantry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryCombatArm
Context triple: [Gadebusch 1712, hasPrimaryCombatArm, infantry]
  • A. primaryArmament
    Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
  • B. combatArm chosen
    Indicates that one entity serves as a primary fighting or operational warfare branch or component of another entity (such as an organization or military force).
  • C. primaryArms
    Indicates that the subject possesses or uses the specified arms or weapons as its main or most important set.
  • D. primaryCombat
    Indicates that one entity is the main or principal opponent that another entity engages with in combat.
  • E. hasCombat
    Indicates that an entity engages in, is involved with, or possesses the capability for combat or fighting interactions with other entities.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba8d7cc8190a59706896a4c073a completed April 27, 2026, 10:34 a.m.
PD Predicate disambiguation batch_69e69665fe8c8190af7e38785db188b2 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:33 p.m.