Triple

T11677842
Position Surface form Disambiguated ID Type / Status
Subject City Attorney of Seattle E277537 entity
Predicate seat P75 FINISHED
Object Seattle City Hall E194119 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 City Hall | Statement: [City Attorney of Seattle, seat, Seattle City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seattle City Hall
Context triple: [City Attorney of Seattle, seat, Seattle City Hall]
  • A. Seattle City Hall chosen
    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.
  • B. 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.
  • C. Portland City Hall
    Portland City Hall is the historic municipal government building and architectural landmark serving the city of Portland, Maine.
  • D. Bellevue City Hall
    Bellevue City Hall is the primary municipal government building and administrative center for the city of Bellevue, Washington.
  • E. 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.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a46000a48190888ad1a6ade052e3 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0192f790c8190a99d512b6f5c15aa completed April 28, 2026, 2:19 a.m.
Created at: April 8, 2026, 9:40 p.m.