Triple

T5948004
Position Surface form Disambiguated ID Type / Status
Subject Mercer Slough Nature Park E132326 entity
Predicate city P40 FINISHED
Object Bellevue E62842 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: Bellevue | Statement: [Mercer Slough Nature Park, city, Bellevue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellevue
Context triple: [Mercer Slough Nature Park, city, Bellevue]
  • A. Bellevue
    Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
  • B. Bellevue
    Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
  • C. Bellevue (Washington, D.C.)
    Bellevue is a residential neighborhood in Southwest Washington, D.C., known for its hillside location overlooking the Potomac and Anacostia Rivers and its mix of public housing, single-family homes, and community facilities.
  • D. Kirkland
    Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
  • E. Tukwila chosen
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397c80708190a4778fdb353314b7 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518ad46ac8190803b7f9fe83f6684 completed March 26, 2026, 11:29 a.m.
Created at: March 22, 2026, 4:01 p.m.