Triple

T203426
Position Surface form Disambiguated ID Type / Status
Subject United States militia forces E4556 entity
Predicate typicalTraining P10219 FINISHED
Object limited formal military training 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: limited formal military training | Statement: [United States militia forces, typicalTraining, limited formal military training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalTraining
Context triple: [United States militia forces, typicalTraining, limited formal military training]
  • A. training
    Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
  • B. trainingGround
    Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
  • C. trainingInstitution
    Indicates that one entity serves as the institution or organization where another entity receives training or education.
  • D. typicalSchedule
    Indicates the usual or standard timing and sequence of activities or events associated with an entity.
  • E. typicalEvent
    Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25f46b4f081909e5ee3718109a71f completed Feb. 28, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69a25b4b42ec8190bef16bbbdd30a742 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25f4602c081909e89de233cbc5670 completed Feb. 28, 2026, 3:21 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.