Triple

T14482677
Position Surface form Disambiguated ID Type / Status
Subject Donostia Klasikoa E359149 entity
Predicate notableClimb P6286 FINISHED
Object Alto de Arkale E359147 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: Alto de Arkale | Statement: [Donostia Klasikoa, notableClimb, Alto de Arkale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alto de Arkale
Context triple: [Donostia Klasikoa, notableClimb, Alto de Arkale]
  • A. Alto de Arkale chosen
    Alto de Arkale is a short but steep climb in the Basque Country that frequently features as a decisive ascent in the Clásica de San Sebastián professional cycling race.
  • B. Hamra
    Hamra is a vibrant, cosmopolitan neighborhood in Beirut, Lebanon, known for its bustling commercial streets, cafes, and cultural life.
  • C. Monte Renoso
    Monte Renoso is a prominent mountain in southern Corsica, France, known for its rugged terrain and scenic alpine landscapes.
  • D. Serra de Baturité
    Serra de Baturité is a mountainous massif in the state of Ceará, Brazil, known for its cooler climate, Atlantic Forest remnants, and ecological and touristic importance in the semi-arid Northeast region.
  • E. Mount Gazanasar
    Mount Gazanasar is a notable summit within the Zangezur mountain range in the South Caucasus region.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a41a8c819081a3eaabbe66577a completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.