Triple

T4495414
Position Surface form Disambiguated ID Type / Status
Subject Islamorada E100682 entity
Predicate locatedBetween P1262 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: [Islamorada, locatedBetween, Marathon, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathon, Florida
Context triple: [Islamorada, locatedBetween, 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. 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.
  • C. Marianna, Florida
    Marianna, Florida is a small historic city in the Florida Panhandle known for its antebellum architecture, proximity to natural springs and caves, and role as the county seat of Jackson County.
  • D. Ruby, Florida
    Ruby, Florida was the original name of the coastal community that later became known as Jacksonville Beach in Duval County, Florida.
  • E. Melbourne, Florida
    Melbourne, Florida is a coastal city in east-central Florida known for its beaches, aerospace and technology industries, and proximity to the Kennedy Space Center.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bde14c819091d42839a46291d0 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb901d6448190a2c89c0e1e9fbb9d completed March 20, 2026, 9:15 p.m.
Created at: March 20, 2026, 1 p.m.