Triple

T367653
Position Surface form Disambiguated ID Type / Status
Subject Seattle Great Wheel E7997 entity
Predicate locatedIn P40 FINISHED
Object Seattle E1640 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 | Statement: [Seattle Great Wheel, locatedIn, Seattle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle
Context triple: [Seattle Great Wheel, locatedIn, Seattle]
  • A. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • B. Seattle, Washington, United States chosen
    Seattle, Washington, United States is a major Pacific Northwest city known for its tech industry, vibrant cultural scene, and iconic landmarks like the Space Needle.
  • C. Spokane, Washington
    Spokane, Washington is a major city in eastern Washington State known for its historic downtown, Riverfront Park, and role as a regional economic and cultural hub of the Inland Northwest.
  • D. Tacoma, Washington
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • E. Vancouver, Washington
    Vancouver, Washington is a mid-sized city in southwest Washington State, located on the north bank of the Columbia River across from Portland, Oregon.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebe92c7c8190b49af2b2b461eacc completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447f8fac481909c4848ca9b789bc3 completed March 1, 2026, 2:06 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.