Triple

T25104117
Position Surface form Disambiguated ID Type / Status
Subject Cité de l’Océan E628819 entity
Predicate hasInteractiveTechnology P166570 FINISHED
Object multimedia installations 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: multimedia installations | Statement: [Cité de l’Océan, hasInteractiveTechnology, multimedia installations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInteractiveTechnology
Context triple: [Cité de l’Océan, hasInteractiveTechnology, multimedia installations]
  • A. hasInteractionMode
    Indicates the way in which two entities engage or interact with each other, specifying the manner, channel, or pattern of their interaction.
  • B. technologyInteractedWith
    Indicates that an entity has used, engaged with, or otherwise interacted with a particular technology.
  • C. supportsDisplayTechnology
    Indicates that one entity is compatible with, or capable of operating using, a specified display technology.
  • D. hasNavigationTechnology
    Indicates that an entity is equipped with or utilizes a system or technology for determining or guiding its position, route, or movement.
  • E. hasInteractiveActivity
    Indicates that an entity includes or is associated with an activity that requires active user participation or engagement.
  • 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_69e2ff3071548190b62d1ac237397197 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f662a29b3881909957a7e3b986653c completed May 2, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69f660eea4648190b0d5e24293607813 completed May 2, 2026, 8:39 p.m.
PDg Predicate description generation batch_69f661b47d088190934f63884a203261 completed May 2, 2026, 8:42 p.m.
Created at: April 18, 2026, 6:26 a.m.