Triple

T7439233
Position Surface form Disambiguated ID Type / Status
Subject Ordre de la Libération E171702 entity
Predicate numberOfMilitaryUnitsRecipients P76410 FINISHED
Object 18 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: 18 | Statement: [Ordre de la Libération, numberOfMilitaryUnitsRecipients, 18]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfMilitaryUnitsRecipients
Context triple: [Ordre de la Libération, numberOfMilitaryUnitsRecipients, 18]
  • A. awardedToUnits
    Indicates that something (such as a prize, honor, or recognition) has been granted or conferred to specific units (e.g., groups, divisions, or organizations).
  • B. militaryUnitOf
    Indicates that one entity is a military unit that belongs to, is part of, or is under the command or organizational structure of another entity.
  • C. militaryOrganization
    Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
  • D. initiallyDesignatedUnits
    Indicates that certain units were originally assigned or designated to a particular role, status, or grouping at the outset of a process or system.
  • E. militaryRepresentationShare
    Indicates the proportion of military representation one entity holds or provides in relation to another or within a larger collective.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34c28648190a426b5d7623b41e8 completed March 27, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69c6f038582c8190bac77c9b5a34b862 completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f0be2b1c8190bea06100a7caef2b completed March 27, 2026, 9:03 p.m.
Created at: March 27, 2026, 3:13 p.m.