Triple

T9910209
Position Surface form Disambiguated ID Type / Status
Subject French football league system E185120 entity
Predicate hasPyramidStructure P91104 FINISHED
Object true 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: true | Statement: [French football league system, hasPyramidStructure, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPyramidStructure
Context triple: [French football league system, hasPyramidStructure, true]
  • A. hasPyramid
    Indicates that one entity possesses, contains, or features a pyramid in relation to another entity.
  • B. hasPyramidComplexAt
    Indicates that an entity possesses or is associated with a pyramid complex located at a specified place.
  • C. hasSubsidiaryPyramid
    Indicates that one entity is a subsidiary or subordinate component within a larger, pyramid-structured entity.
  • D. pyramidAssociatedStructure
    Indicates a structural or architectural feature that is functionally or historically connected to a pyramid.
  • E. hasCultPyramid
    Indicates that an entity possesses or is associated with a pyramid used for cultic or religious purposes.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
PD Predicate disambiguation batch_69cd1d8c584081908b73de75eb18e438 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd3581a9688190a00cef4c3eebb0ae completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:41 p.m.