Triple

T14772428
Position Surface form Disambiguated ID Type / Status
Subject Seattle landmarks E347167 entity
Predicate hasPart P35 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: [Seattle landmarks, hasPart, Seattle Great Wheel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle Great Wheel
Context triple: [Seattle landmarks, hasPart, 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. The Capital Wheel
    The Capital Wheel is a large observation Ferris wheel offering panoramic views of the Washington, D.C. area from the waterfront at National Harbor.
  • D. Hong Kong Observation Wheel
    The Hong Kong Observation Wheel is a large Ferris wheel and tourist attraction on Hong Kong’s Central Harbourfront offering panoramic views of Victoria Harbour and the city skyline.
  • E. London Eye
    The London Eye is a giant riverside observation wheel in central London offering panoramic views of the city’s skyline and landmarks.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cfabdfc8190ae7ee06b11f9b540 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.