Triple

T2498313
Position Surface form Disambiguated ID Type / Status
Subject Pact for Research and Innovation in Europe E52402 entity
Predicate priorityArea P28568 FINISHED
Object deepening a truly functioning internal market for knowledge 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: deepening a truly functioning internal market for knowledge | Statement: [Pact for Research and Innovation in Europe, priorityArea, deepening a truly functioning internal market for knowledge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: priorityArea
Context triple: [Pact for Research and Innovation in Europe, priorityArea, deepening a truly functioning internal market for knowledge]
  • A. primaryArea
    Indicates that one entity is the main or most important area, domain, or field associated with another entity.
  • B. keyIssueArea
    Indicates that something is a primary topic, domain, or field that is central or especially important within a broader context or discussion.
  • C. primarySurveyArea
    Indicates that a specified area is the main or principal region targeted or covered by a particular survey or data collection activity.
  • D. featuredArea
    Indicates that an area or section is highlighted or given special prominence within a larger context or layout.
  • E. thematicArea chosen
    Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ae9040819091b3ca5b98659e99 completed March 7, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69abd0bba5348190bb4637d3165cb339 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:46 p.m.