Triple

T36880440
Position Surface form Disambiguated ID Type / Status
Subject Regulation (EU) 2021/691 E911463 entity
Predicate supportsMeasures P205099 FINISHED
Object training and re-skilling of displaced workers 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: training and re-skilling of displaced workers | Statement: [Regulation (EU) 2021/691, supportsMeasures, training and re-skilling of displaced workers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMeasures
Context triple: [Regulation (EU) 2021/691, supportsMeasures, training and re-skilling of displaced workers]
  • A. supportAgainst
    Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
  • B. supportsRatificationOf
    Indicates that one entity endorses or advocates for the formal approval or ratification of another entity (such as a treaty, agreement, or decision).
  • C. supportsProsecutionIn
    Indicates that an entity provides assistance or backing to the prosecution side within a specified legal case or jurisdiction.
  • D. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • E. supportsCommittee
    Indicates that one entity provides backing, endorsement, or assistance to a committee.
  • 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:13 p.m.