Triple

T18065391
Position Surface form Disambiguated ID Type / Status
Subject Miki Biasion E432279 entity
Predicate hasWon P2624 FINISHED
Object Rally Portugal 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: Rally Portugal | Statement: [Miki Biasion, hasWon, Rally Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rally Portugal
Context triple: [Miki Biasion, hasWon, Rally Portugal]
  • A. Rally Portugal chosen
    Rally Portugal is a prominent gravel-based round of the World Rally Championship held in Portugal, known for its challenging stages and passionate crowds.
  • B. Rally Finland
    Rally Finland is a renowned gravel rally event held on fast, flowing forest roads around Jyväskylä, widely regarded as one of the most iconic and challenging rounds in international rallying.
  • C. Rally Italy
    Rally Italy is a World Rally Championship event held on the Mediterranean island of Sardinia, known for its narrow, rocky gravel stages and challenging coastal terrain.
  • D. Rally Poland
    Rally Poland is a long-running World Rally Championship event held on gravel roads in Poland, known for its high speeds and challenging stages.
  • E. Rally Jordan
    Rally Jordan is a former World Rally Championship event held on the challenging gravel roads of Jordan, known for its desert stages near the Dead Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce81de88190bd94d4ccee3e180c completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.