Triple

T12892136
Position Surface form Disambiguated ID Type / Status
Subject Foreign Legion Groupment of Recruits E308394 entity
Predicate trainingOutcome P27937 FINISHED
Object assignment of legionnaires to operational regiments 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: assignment of legionnaires to operational regiments | Statement: [Foreign Legion Groupment of Recruits, trainingOutcome, assignment of legionnaires to operational regiments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingOutcome
Context triple: [Foreign Legion Groupment of Recruits, trainingOutcome, assignment of legionnaires to operational regiments]
  • A. programOutcome
    Indicates the resulting state, effect, or consequence produced by executing or completing a program.
  • B. trainingStatus
    Indicates the current state or phase of an entity within a training or learning process.
  • C. trainingLeadsTo chosen
    Indicates that a process of training results in or brings about a particular outcome, state, or effect.
  • D. training
    Indicates that one entity is teaching, coaching, or otherwise helping another entity acquire or improve a skill, behavior, or capability.
  • E. trainingSystem
    Indicates a system or framework used to train, instruct, or develop skills or knowledge in a target entity.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97146d2208190be5ae26e51193b67 completed April 10, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69d96fa776648190b9b5c30722ea50b6 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:39 p.m.