Triple

T7908077
Position Surface form Disambiguated ID Type / Status
Subject David Millar E183625 entity
Predicate memberOf P10 FINISHED
Object Garmin-Slipstream
Garmin-Slipstream was a professional American cycling team known for its strong time-trial squads, anti-doping stance, and participation in major races like the Tour de France.
 E696632 NE FINISHED

How this triple was built (4 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: Garmin-Slipstream | Statement: [David Millar, memberOf, Garmin-Slipstream]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garmin-Slipstream
Context triple: [David Millar, memberOf, Garmin-Slipstream]
  • A. Orica
    Orica is a municipality in central Honduras known for its rural communities and agricultural activities within the Francisco Morazán Department.
  • B. Agalev
    Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
  • C. Castelli
    Castelli is the original family surname of the renowned Baroque architect Francesco Borromini.
  • D. Giro
    Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
  • E. Endura
    Endura is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, allusive language and exploration of memory, loss, and the limits of expression.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Garmin-Slipstream
Triple: [David Millar, memberOf, Garmin-Slipstream]
Generated description
Garmin-Slipstream was a professional American cycling team known for its strong time-trial squads, anti-doping stance, and participation in major races like the Tour de France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garmin-Slipstream
Target entity description: Garmin-Slipstream was a professional American cycling team known for its strong time-trial squads, anti-doping stance, and participation in major races like the Tour de France.
  • A. Orica
    Orica is a municipality in central Honduras known for its rural communities and agricultural activities within the Francisco Morazán Department.
  • B. Agalev
    Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
  • C. Castelli
    Castelli is the original family surname of the renowned Baroque architect Francesco Borromini.
  • D. Giro
    Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
  • E. Endura
    Endura is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, allusive language and exploration of memory, loss, and the limits of expression.
  • F. None of above. chosen

Provenance (5 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a59de00819099f1ce02bb469e75 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bd0024c81909679a45612bcb1a7 completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb5f1f864c819086d3a2b04061ead0 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb76aede388190a56e066c3302c35e completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:03 p.m.