Triple

T19080496
Position Surface form Disambiguated ID Type / Status
Subject Communauté universitaire et scientifique européenne de Strasbourg E467017 entity
Predicate thématique P261 FINISHED
Object coopération académique 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: coopération académique | Statement: [Communauté universitaire et scientifique européenne de Strasbourg, thématique, coopération académique]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: thématique
Context triple: [Communauté universitaire et scientifique européenne de Strasbourg, thématique, coopération académique]
  • A. theme chosen
    Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
  • B. thematicConcept
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
  • C. thematicFunction
    Indicates how an entity participates in or contributes to the role structure of an event or situation (e.g., as agent, patient, instrument, etc.).
  • D. tacklesTheme
    Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
  • E. themeFor
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e8f8148190942cca6dd3e30caf completed April 20, 2026, 8:25 a.m.
PD Predicate disambiguation batch_69e4b9a604308190a3235184f9f2c056 completed April 19, 2026, 11:16 a.m.
Created at: April 10, 2026, 12:04 p.m.