Triple

T38355776
Position Surface form Disambiguated ID Type / Status
Subject European Hillclimb Championship 1938 E1046322 entity
Predicate hadCompetitor P190457 FINISHED
Object Rudolf Caracciola 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: Rudolf Caracciola | Statement: [European Hillclimb Championship 1938, hadCompetitor, Rudolf Caracciola]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadCompetitor
Context triple: [European Hillclimb Championship 1938, hadCompetitor, Rudolf Caracciola]
  • A. competedAs
    Indicates that an entity participated in a competition or contest in the role, category, or capacity specified by another entity.
  • B. competedFor
    Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
  • C. hasCompetition
    Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
  • D. wasOpponentOf
    Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
  • E. facedOpponent
    Indicates that one entity directly confronted or competed against another as an opponent in a contest, conflict, or challenge.
  • 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_69f76e3a94fc81908edc175e8d259e80 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcc7a4d7f881908b43b960911b81e9 completed May 7, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69fcc589720c819089c8f500fea3c86a completed May 7, 2026, 5:02 p.m.
PDg Predicate description generation batch_69fcc7a42f68819081d6ec8bb6b53438 completed May 7, 2026, 5:11 p.m.
Created at: May 3, 2026, 4:31 p.m.