Triple

T19080487
Position Surface form Disambiguated ID Type / Status
Subject Communauté universitaire et scientifique européenne de Strasbourg E467017 entity
Predicate zoneD’activité P111844 FINISHED
Object Strasbourg et son aire universitaire 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: Strasbourg et son aire universitaire | Statement: [Communauté universitaire et scientifique européenne de Strasbourg, zoneD’activité, Strasbourg et son aire universitaire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: zoneD’activité
Context triple: [Communauté universitaire et scientifique européenne de Strasbourg, zoneD’activité, Strasbourg et son aire universitaire]
  • A. area of activity chosen
    Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
  • B. zone
    Indicates that an entity is located within, associated with, or assigned to a particular geographic or conceptual area or zone.
  • C. регионДеятельности
    Indicates the geographic region or area in which an entity carries out its activities or operations.
  • D. zonedUse
    Indicates the designated or permitted type of land use assigned to a property or area under zoning regulations.
  • E. zoneBased
    Indicates that the relationship or action is determined or constrained by specific geographic or logical zones.
  • 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.