Triple

T17147366
Position Surface form Disambiguated ID Type / Status
Subject Downhill Double Dipper E416124 entity
Predicate hasRacingLanes P20753 FINISHED
Object 2 LITERAL 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: 2 | Statement: [Downhill Double Dipper, hasRacingLanes, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRacingLanes
Context triple: [Downhill Double Dipper, hasRacingLanes, 2]
  • A. hasLanes
    Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
  • B. hasDedicatedLanes
    Indicates that specific lanes within a route or roadway are reserved exclusively for a particular type of traffic or use.
  • C. hasTrackLanes chosen
    Indicates that an entity (such as a road or track) includes one or more designated lanes for vehicle or train movement.
  • D. hasPitLane
    Indicates that a racing circuit, track, or similar facility includes a designated pit lane area for vehicle servicing and related activities.
  • E. hasWheelchairLanes
    Indicates that a location, route, or facility includes designated lanes or pathways specifically designed for wheelchair use.
  • F. None of above.

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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f404f0e88190b7ac9ac523fdc7da completed April 18, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.