Triple

T5377776
Position Surface form Disambiguated ID Type / Status
Subject Alaskan Way E113004 entity
Predicate hasLandmark P105 FINISHED
Object Seattle Great Wheel E7997 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: Seattle Great Wheel | Statement: [Alaskan Way, hasLandmark, Seattle Great Wheel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle Great Wheel
Context triple: [Alaskan Way, hasLandmark, Seattle Great Wheel]
  • A. Seattle Great Wheel chosen
    The Seattle Great Wheel is a large Ferris wheel on Pier 57 along Seattle’s waterfront, offering panoramic views of the city skyline and Elliott Bay.
  • B. Centennial Wheel
    The Centennial Wheel is a large, modern Ferris wheel at Chicago’s Navy Pier that offers panoramic views of the city skyline and Lake Michigan.
  • C. London Eye
    The London Eye is a giant riverside observation wheel in central London offering panoramic views of the city’s skyline and landmarks.
  • D. Cosmo Clock 21 Ferris wheel
    Cosmo Clock 21 Ferris wheel is a giant Ferris wheel and former world’s largest, notable for its illuminated clock and panoramic views over Yokohama’s Minato Mirai waterfront district.
  • E. Tempozan Giant Ferris Wheel
    Tempozan Giant Ferris Wheel is a large, popular observation wheel in Osaka, Japan, offering panoramic views of the city and Osaka Bay.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cb13ac81909dc364e7d3605844 completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29428cec8190a20bea8fcae59d8f completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:03 p.m.