Triple

T285009
Position Surface form Disambiguated ID Type / Status
Subject Roman legion E5868 entity
Predicate hasTacticalFeature P7256 FINISHED
Object flexible formations 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: flexible formations | Statement: [Roman legion, hasTacticalFeature, flexible formations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTacticalFeature
Context triple: [Roman legion, hasTacticalFeature, flexible formations]
  • A. militaryCharacteristic chosen
    Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity or context.
  • B. warfareCapability
    Indicates the ability or capacity of an entity to engage in, conduct, or support acts of warfare.
  • C. weaponCapability
    Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
  • D. hasSpecialUnit
    Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
  • E. hasTechnique
    Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a2605b372c8190831570aa6532cc96 completed Feb. 28, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69a25b7a8d148190aacdcc8ccb35c7f3 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.