Triple

T24260413
Position Surface form Disambiguated ID Type / Status
Subject Jean Jaurès National Center and Museum E604682 entity
Predicate hasHistoricalContextDisplays P155361 FINISHED
Object yes 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: yes | Statement: [Jean Jaurès National Center and Museum, hasHistoricalContextDisplays, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalContextDisplays
Context triple: [Jean Jaurès National Center and Museum, hasHistoricalContextDisplays, yes]
  • A. hasHistoricalContext
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • B. hasHistoricalSection
    Indicates that something includes a dedicated part or segment that presents historical information or context.
  • C. hasHistoricalViewpoint
    Indicates that one entity holds, expresses, or is associated with a particular perspective or interpretation regarding historical events or periods.
  • D. hasHistoricity
    Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
  • E. hasHistoricalText
    Indicates that an entity is associated with a historical written document or record describing it or its past.
  • 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_69e29544c29c8190b023606eafe5d36a completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28c6656f08190a8140a54eba7c0ce completed April 29, 2026, 10:55 p.m.
PD Predicate disambiguation batch_69f1c450aa508190bc9d372a5f6ee47a completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f1c6d4e99081909f61899eccafb73e completed April 29, 2026, 8:52 a.m.
Created at: April 18, 2026, 12:06 a.m.