Triple

T23347561
Position Surface form Disambiguated ID Type / Status
Subject Bellevue Downtown Station E591908 entity
Predicate nearbyLandmark P350 FINISHED
Object Bellevue City Hall NE NERFINISHED

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 City Hall | Statement: [Bellevue Downtown Station, nearbyLandmark, Bellevue City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellevue City Hall
Context triple: [Bellevue Downtown Station, nearbyLandmark, Bellevue City Hall]
  • A. Bellevue City Hall chosen
    Bellevue City Hall is the primary municipal government building and administrative center for the city of Bellevue, Washington.
  • B. Seattle City Hall
    Seattle City Hall is the modern civic headquarters of the City of Seattle, Washington, known for its contemporary glass-and-steel architecture and public plaza in the downtown area.
  • C. Redmond City Hall
    Redmond City Hall is the main municipal government building for the city of Redmond, Washington, housing city administration offices and council chambers.
  • D. Portland City Hall
    Portland City Hall is the historic municipal government building and architectural landmark serving the city of Portland, Maine.
  • E. Portland City Hall
    Portland City Hall is the historic municipal building in downtown Portland, Oregon, that houses the offices and chambers of the city’s government.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983840a481908c503e47ef2158e3 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:19 p.m.