Triple

T11988724
Position Surface form Disambiguated ID Type / Status
Subject Glades County E285349 entity
Predicate largestCity P235 FINISHED
Object Moore Haven E676098 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: Moore Haven | Statement: [Glades County, largestCity, Moore Haven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moore Haven
Context triple: [Glades County, largestCity, Moore Haven]
  • A. Moore Haven, Florida chosen
    Moore Haven, Florida is a small city in Glades County located on the southwest shore of Lake Okeechobee in south-central Florida.
  • B. Glen Haven
    Glen Haven is a small community located within the Township of South Dundas in eastern Ontario, Canada.
  • C. Leland Harbor
    Leland Harbor is a small Lake Michigan harbor and marina serving the historic fishing village of Leland in northern Michigan.
  • D. Mayport, Florida
    Mayport, Florida is a coastal community near Jacksonville known for its major U.S. Navy base and busy naval station.
  • E. Marion Harbor
    Marion Harbor is a coastal harbor in Marion, Massachusetts, known for its sheltered waters, boating, and scenic New England shoreline.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48abcf2588190a44e6e31e045b356 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.