Triple

T16359065
Position Surface form Disambiguated ID Type / Status
Subject Duck Key E397262 entity
Predicate nearestCity P350 FINISHED
Object Marathon, Florida E136706 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: Marathon, Florida | Statement: [Duck Key, nearestCity, Marathon, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathon, Florida
Context triple: [Duck Key, nearestCity, Marathon, Florida]
  • A. Marathon, Florida chosen
    Marathon, Florida is a small city in the middle Florida Keys known for its boating, fishing, and family-friendly island resorts.
  • B. Malone, Florida
    Malone, Florida is a small rural town in Jackson County in the Florida Panhandle, known for its agricultural surroundings and quiet, close-knit community.
  • C. Southgate, Florida
    Southgate, Florida is a residential community and census-designated place located within Sarasota County on Florida’s Gulf Coast.
  • D. Margate, Florida
    Margate, Florida is a suburban city in South Florida known for its residential communities, parks, and proximity to the greater Fort Lauderdale metropolitan area.
  • E. Mascotte, Florida
    Mascotte, Florida is a small city in central Florida known for its rural character and location within the rapidly growing Lake County region.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad1859c819082b47bf9d7fabd9f completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00355df6188190929be8584b5ac87e completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:07 a.m.