Triple

T22338059
Position Surface form Disambiguated ID Type / Status
Subject O Clássico E552201 entity
Predicate typicalMatchImportance P147839 FINISHED
Object title race implications 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: title race implications | Statement: [O Clássico, typicalMatchImportance, title race implications]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalMatchImportance
Context triple: [O Clássico, typicalMatchImportance, title race implications]
  • A. typicalMatchType
    Indicates the usual or most common type of match or pairing that characterizes how two entities are related or aligned.
  • B. typicalMatchRules
    Indicates that two entities are considered a standard or default match according to predefined matching rules or criteria.
  • C. typicalMatchWindows
    Indicates that two entities share the same or compatible default time windows or periods during which an activity, process, or condition is normally expected to occur.
  • D. resultImportance
    Indicates that one entity specifies how significant, critical, or impactful the outcome or result of another entity is.
  • E. matchInfluence
    Indicates that one entity affects, shapes, or alters the outcome, behavior, or characteristics of a match involving another entity.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1578184f481908d4ec1737a8a72d4 completed April 29, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e7300c20088190a59e5bf9e70384f3 completed April 21, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e7342ce08c8190bc0a7085f4a952e7 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 8:43 p.m.