Triple

T26203009
Position Surface form Disambiguated ID Type / Status
Subject Plaza Mayor de la Hispanidad E655281 entity
Predicate hasTopicalAssociation P133095 FINISHED
Object Hispanidad NE NERFINISHED

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: Hispanidad | Statement: [Plaza Mayor de la Hispanidad, hasTopicalAssociation, Hispanidad]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTopicalAssociation
Context triple: [Plaza Mayor de la Hispanidad, hasTopicalAssociation, Hispanidad]
  • A. basedOnSubjectOf chosen
    Indicates that something is derived from, informed by, or constructed using the subject matter or content of another entity.
  • B. hasSubjectThesaurus
    Indicates that an entity is associated with or described using a particular subject thesaurus or controlled subject vocabulary.
  • C. hasScientificInterestIn
    Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
  • D. hasConceptualInvolvementBy
    Indicates that something is conceptually influenced, shaped, or defined by the ideas, theories, or mental contributions of a particular agent or source.
  • E. hasBeenSubjectOf
    Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
  • 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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
Created at: April 26, 2026, 8:49 p.m.