Triple

T15111453
Position Surface form Disambiguated ID Type / Status
Subject Institute for Architecture and Urban Studies E360920 entity
Predicate published P80 FINISHED
Object Skyline E1138928 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: [Institute for Architecture and Urban Studies, published, Skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyline
Context triple: [Institute for Architecture and Urban Studies, published, Skyline]
  • A. 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.
  • B. Skyline
    Skyline is Honolulu’s elevated rail transit system providing rapid public transportation across parts of Oʻahu, Hawaiʻi.
  • C. Skyline chosen
    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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058d786c8190937c6819255c01bd completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe2369881908c7ebbad412d9000 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:05 a.m.