Triple

T3768213
Position Surface form Disambiguated ID Type / Status
Subject L’Auto E82730 entity
Predicate hadCirculationIn P51001 FINISHED
Object France E861 NE FINISHED

How this triple was built (3 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: France | Statement: [L’Auto, hadCirculationIn, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: France
Context triple: [L’Auto, hadCirculationIn, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. France Ô
    France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
  • C. France and Germany
    France and Germany are two major neighboring European countries that share deep historical ties, a central role in the European Union, and a long land border.
  • D. France 5
    France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
  • E. France 4
    France 4 is a French public television channel, part of the France Télévisions group, known for broadcasting youth-oriented and family entertainment programming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadCirculationIn
Context triple: [L’Auto, hadCirculationIn, France]
  • A. circulatedAs
    Indicates that something was distributed, shared, or passed around in the form or role specified by the related entity.
  • B. hasPrimaryCirculation
    Indicates that an entity possesses or is associated with a main or principal system, route, or pattern of circulation (such as movement, flow, or distribution).
  • C. hasCirculationFeature
    Indicates that an entity possesses a specific feature related to movement or flow within a system, such as circulation paths, routes, or mechanisms.
  • D. circulationPeriod
    Indicates the length of time during which an item is allowed to be borrowed, used, or remain in active circulation before it must be returned, renewed, or retired.
  • E. hasHad
    Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
  • F. None of above. chosen

Provenance (5 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2bdf6c819088d3c6ace83ca5ea completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f02d1ec88190b99140cee0f14eed completed March 14, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69adc04ec36c8190bd5b944d4f4d32aa completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc133ef50819094c2b971f31f1615 completed March 8, 2026, 6:34 p.m.
Created at: March 8, 2026, 3:35 p.m.