Triple

T36592122
Position Surface form Disambiguated ID Type / Status
Subject Clásico Regiomontano E902697 entity
Predicate derbyScope P24020 FINISHED
Object regional 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: regional | Statement: [Clásico Regiomontano, derbyScope, regional]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: derbyScope
Context triple: [Clásico Regiomontano, derbyScope, regional]
  • A. reservationScope
    Indicates the extent or range within which a reservation applies or is valid.
  • B. scopeType
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • C. definesScopeFor
    Indicates that one entity establishes or delimits the scope, boundaries, or applicability within which another entity operates or is interpreted.
  • D. participantScope chosen
    Indicates the extent, range, or set of participants that are involved in or affected by a given relationship or action.
  • E. scopeDefault
    Indicates that something applies or is valid in the absence of a more specific or overriding scope.
  • 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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.