Triple

T16561573
Position Surface form Disambiguated ID Type / Status
Subject La Classicissima E402350 entity
Predicate notableClimb P6286 FINISHED
Object Cipressa E402352 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: Cipressa | Statement: [La Classicissima, notableClimb, Cipressa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cipressa
Context triple: [La Classicissima, notableClimb, Cipressa]
  • A. Cipressa chosen
    Cipressa is a renowned coastal climb in Liguria, Italy, best known as one of the decisive late-race ascents in the Milan–San Remo professional cycling classic.
  • B. Cresco
    Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
  • C. Thousand Palms
    Thousand Palms is an unincorporated desert community in Riverside County, California, known for its proximity to Palm Desert and the Coachella Valley Preserve.
  • D. Woodcrest
    Woodcrest is the fictional suburban neighborhood that serves as the primary setting for the animated television series "The Boondocks."
  • E. Prestwood
    Prestwood is a large village in Buckinghamshire, England, situated in the Chiltern Hills and functioning mainly as a commuter settlement.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576eb63081908cb5dc6c0a8a13ac completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067be809c81909c93eb1253fbf8e5 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.