Triple

T7151873
Position Surface form Disambiguated ID Type / Status
Subject Burien E166709 entity
Predicate borderedBy P224 FINISHED
Object Normandy Park E303677 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: Normandy Park | Statement: [Burien, borderedBy, Normandy Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Normandy Park
Context triple: [Burien, borderedBy, Normandy Park]
  • A. Normandy Park chosen
    Normandy Park is a small suburban city in King County, Washington, known for its quiet residential neighborhoods and Puget Sound shoreline.
  • B. Normandie Park
    Normandie Park is a neighborhood park in Central Los Angeles that provides local residents with green space and recreational facilities.
  • C. Normandy Oaks Park
    Normandy Oaks Park is a community recreation area in Royal Oak, Michigan, featuring open green space, sports facilities, and family-friendly amenities.
  • D. Courtland Park
    Courtland Park is a public recreational park located in Reidsville, North Carolina.
  • E. Woodward Park
    Woodward Park is a public recreational park in Manteca, California, featuring open green spaces, sports facilities, and family-friendly amenities.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f3e4a88190a3110f2368262528 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8f42abc8190856210b8dea0a6de completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:46 p.m.