Triple

T22537976
Position Surface form Disambiguated ID Type / Status
Subject Sand Key E557205 entity
Predicate hasNearbyCity P350 FINISHED
Object Clearwater 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: Clearwater | Statement: [Sand Key, hasNearbyCity, Clearwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clearwater
Context triple: [Sand Key, hasNearbyCity, Clearwater]
  • A. Clearwater chosen
    Clearwater is a coastal city in Florida known for its white-sand beaches, tourism, and location on the Gulf of Mexico within the greater Tampa Bay metropolitan area.
  • B. Clearwater
    Clearwater is a small town in British Columbia, Canada, known as a gateway to Wells Gray Provincial Park and its numerous waterfalls and outdoor recreation opportunities.
  • C. Clearwater
    Clearwater is an environmental nonprofit organization, founded by folk singer Pete Seeger, dedicated to protecting the Hudson River and promoting environmental education and advocacy.
  • D. Shoreline
    Shoreline is a suburban city in Washington State located just north of Seattle, known for its residential neighborhoods, parks, and access to Puget Sound.
  • E. Shoreline
    "Shoreline" is a poem featured in Seamus Heaney’s 1972 collection *Wintering Out*, reflecting his characteristic engagement with landscape, memory, and identity.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f2f671c8190b7a7d9b6d0d64a9b completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.