Triple

T19689793
Position Surface form Disambiguated ID Type / Status
Subject Italian Grand Prix E472803 entity
Predicate historicConfigurationFeature P86463 FINISHED
Object banked oval sections at Monza 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: banked oval sections at Monza | Statement: [Italian Grand Prix, historicConfigurationFeature, banked oval sections at Monza]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicConfigurationFeature
Context triple: [Italian Grand Prix, historicConfigurationFeature, banked oval sections at Monza]
  • A. hasHistoricFeatures chosen
    Indicates that something possesses characteristics, elements, or attributes of historical significance.
  • B. historicManager
    Indicates that an entity previously held a managerial role or position over another entity during a past period.
  • C. historicFor
    Indicates that something holds historical significance or importance specifically in relation to another entity.
  • D. strategicFeatureHistorical
    Indicates that something has historically served as a strategic feature or asset within a broader plan, conflict, or competitive context.
  • E. featuresHistorian
    Indicates that something includes or presents a historian as a notable participant, subject, or element.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420f1a0c8190ae59aa0ab3ff2802 completed April 20, 2026, 3:11 p.m.
PD Predicate disambiguation batch_69e53039ea808190a9106a53f564ab92 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:45 p.m.