Triple

T11433595
Position Surface form Disambiguated ID Type / Status
Subject Angle Lake Station E270947 entity
Predicate namedAfter P63 FINISHED
Object Angle Lake E64137 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: Angle Lake | Statement: [Angle Lake Station, namedAfter, Angle Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angle Lake
Context triple: [Angle Lake Station, namedAfter, Angle Lake]
  • A. Angle Lake chosen
    Angle Lake is a light rail station and surrounding neighborhood in SeaTac, Washington, serving as a southern terminus of Sound Transit’s Link light rail line near Seattle–Tacoma International Airport.
  • B. Long Lake
    Long Lake is a freshwater lake that serves as the setting for Long Lake Beach and is likely used for recreation and local outdoor activities.
  • C. Spirit Lake
    Spirit Lake is a small, scenic natural lake in northern Idaho known for outdoor recreation such as fishing, boating, and lakeside camping.
  • D. Thunder Lake
    Thunder Lake is a nearby lake associated with the Dryden area, known as a local natural water body used for recreation and outdoor activities.
  • E. Don Lake
    Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72654dc88819095bc1ce23dfee4df completed May 3, 2026, 10:41 a.m.
Created at: April 8, 2026, 9:35 p.m.