Triple

T3149768
Position Surface form Disambiguated ID Type / Status
Subject Speed Channel E65848 entity
Predicate notableProgram P4 FINISHED
Object Trackside
Trackside is a motorsports-focused television program that provided news, analysis, and behind-the-scenes coverage of auto racing events.
 E331320 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: Trackside | Statement: [Speed Channel, notableProgram, Trackside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trackside
Context triple: [Speed Channel, notableProgram, Trackside]
  • A. Turbo Track
    Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
  • B. TRAX
    TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
  • C. Downbound Train
    "Downbound Train" is a somber, narrative-driven rock song by Bruce Springsteen that appears on his 1984 album *Born in the U.S.A.*
  • D. Down the Field
    "Down the Field" is a traditional fight song closely associated with the University of Tennessee Volunteers and their athletic events.
  • E. Down the Field
    "Down the Field" is the traditional fight song of Syracuse University, closely associated with the spirit and identity of the Syracuse Orange athletic teams.
  • 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: Trackside
Triple: [Speed Channel, notableProgram, Trackside]
Generated description
Trackside is a motorsports-focused television program that provided news, analysis, and behind-the-scenes coverage of auto racing events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trackside
Target entity description: Trackside is a motorsports-focused television program that provided news, analysis, and behind-the-scenes coverage of auto racing events.
  • A. Turbo Track
    Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
  • B. TRAX
    TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
  • C. Downbound Train
    "Downbound Train" is a somber, narrative-driven rock song by Bruce Springsteen that appears on his 1984 album *Born in the U.S.A.*
  • D. Down the Field
    "Down the Field" is a traditional fight song closely associated with the University of Tennessee Volunteers and their athletic events.
  • E. Down the Field
    "Down the Field" is the traditional fight song of Syracuse University, closely associated with the spirit and identity of the Syracuse Orange athletic teams.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225b27e1c8190a3df0d4692ee66c6 completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b226339e4881908690f7ea7a7bd50c completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.