Triple

T19080479
Position Surface form Disambiguated ID Type / Status
Subject Communauté universitaire et scientifique européenne de Strasbourg E467017 entity
Predicate typeDeMembres P52477 FINISHED
Object établissements d’enseignement supérieur 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: établissements d’enseignement supérieur | Statement: [Communauté universitaire et scientifique européenne de Strasbourg, typeDeMembres, établissements d’enseignement supérieur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeDeMembres
Context triple: [Communauté universitaire et scientifique européenne de Strasbourg, typeDeMembres, établissements d’enseignement supérieur]
  • A. clubMembershipType
    Indicates the specific category or level of membership that an entity holds within a club.
  • B. memberCategory
    Indicates that an entity belongs to or is classified under a specific category or group.
  • C. countryMembershipType
    Indicates the type or category of membership a country has within an organization, agreement, or grouping.
  • D. typeOfMembershipBody chosen
    Indicates the specific kind or category of membership that an entity holds within a body or organization.
  • E. personnelType
    Indicates the classification or role category assigned to a person within an organization or system.
  • 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.