Triple

T2977181
Position Surface form Disambiguated ID Type / Status
Subject Bathurst 1000 E80425 entity
Predicate notableSection P5600 FINISHED
Object Skyline
Skyline is a famous high-speed, blind-crest section of the Mount Panorama Circuit at the Bathurst 1000, known for its dramatic elevation change and challenging corner sequence.
E316507 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: Skyline | Statement: [Bathurst 1000, notableSection, Skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyline
Context triple: [Bathurst 1000, notableSection, Skyline]
  • A. Skyline
    "Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
  • B. Skyscraper
    "Skyscraper" is a power ballad best known as a hit single by Demi Lovato, co-written and produced by songwriter Toby Gad.
  • C. Blue City
    Blue City is a popular nickname for Jodhpur, a historic city in Rajasthan, India, famed for its blue-painted houses and hilltop Mehrangarh Fort.
  • D. Lights of New York
    Lights of New York is a 1928 American crime film historically recognized as the first all-talking feature-length movie.
  • E. Skyway
    Skyway is an elevated expressway system in Metro Manila that provides a major road link to and from Ninoy Aquino International Airport and other key urban areas.
  • 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: Skyline
Triple: [Bathurst 1000, notableSection, Skyline]
Generated description
Skyline is a famous high-speed, blind-crest section of the Mount Panorama Circuit at the Bathurst 1000, known for its dramatic elevation change and challenging corner sequence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skyline
Target entity description: Skyline is a famous high-speed, blind-crest section of the Mount Panorama Circuit at the Bathurst 1000, known for its dramatic elevation change and challenging corner sequence.
  • A. Skyline
    "Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
  • B. Skyscraper
    "Skyscraper" is a power ballad best known as a hit single by Demi Lovato, co-written and produced by songwriter Toby Gad.
  • C. Blue City
    Blue City is a popular nickname for Jodhpur, a historic city in Rajasthan, India, famed for its blue-painted houses and hilltop Mehrangarh Fort.
  • D. Lights of New York
    Lights of New York is a 1928 American crime film historically recognized as the first all-talking feature-length movie.
  • E. Skyway
    Skyway is an elevated expressway system in Metro Manila that provides a major road link to and from Ninoy Aquino International Airport and other key urban areas.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998c589c8190b4530f3fb8975187 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b1095e85e48190abda38be8ad45599 completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b10d2d99ac8190909dd37ccffa4820 completed March 11, 2026, 6:35 a.m.
Created at: March 8, 2026, 2:58 p.m.