Triple

T17238306
Position Surface form Disambiguated ID Type / Status
Subject Mount Panorama Circuit E418420 entity
Predicate hasFamousCorner P42380 FINISHED
Object Skyline E316507 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: Skyline | Statement: [Mount Panorama Circuit, hasFamousCorner, Skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyline
Context triple: [Mount Panorama Circuit, hasFamousCorner, Skyline]
  • A. Skyline chosen
    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.
  • B. Skyline
    Skyline is Honolulu’s elevated rail transit system providing rapid public transportation across parts of Oʻahu, Hawaiʻi.
  • C. Skyline
    Skyline is an influential architectural journal produced by the Institute for Architecture and Urban Studies that explored contemporary architecture, urbanism, and design discourse.
  • D. Skyline
    "Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
  • E. Skyline
    Skyline is a themed area within the Six Flags Discovery Kingdom amusement park featuring rides, attractions, and park amenities.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfcf2608190b6935b79ea2ae946 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01676596a48190ae17a411b86e613e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.