Triple

T15431108
Position Surface form Disambiguated ID Type / Status
Subject Tadej Pogačar E369641 entity
Predicate familyName P18 FINISHED
Object Pogačar E369641 NE 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: Pogačar | Statement: [Tadej Pogačar, familyName, Pogačar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pogačar
Context triple: [Tadej Pogačar, familyName, Pogačar]
  • A. Tadej Pogačar chosen
    Tadej Pogačar is a Slovenian professional road cyclist, renowned as one of the world’s top stage racers and a multiple Grand Tour champion.
  • B. Primož Roglič
    Primož Roglič is a Slovenian professional road cyclist and Grand Tour winner known for his powerful stage-race performances and multiple victories in major week-long and three-week races.
  • C. Primož
    Primož is a masculine given name of Slovene origin, commonly used in Slovenia.
  • D. dux Sagan
    dux Sagan was a medieval ducal title associated with the Piast rulers of the Silesian town and region of Żagań.
  • E. Luka Kovač
    Luka Kovač is a fictional Croatian emergency room physician and central character on the television series "ER."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ed8ea888190bff8dc14859cca31 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf5d788819086a94af42c2ec21a completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.