Triple

T20167456
Position Surface form Disambiguated ID Type / Status
Subject East Central Florida E491861 entity
Predicate contains P35 FINISHED
Object Melbourne, Florida 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: Melbourne, Florida | Statement: [East Central Florida, contains, Melbourne, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melbourne, Florida
Context triple: [East Central Florida, contains, Melbourne, Florida]
  • A. Melbourne, Florida chosen
    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.
  • B. Wellington, Florida
    Wellington, Florida is an affluent village in Palm Beach County known as a major international equestrian center and winter polo capital of the world.
  • C. Maitland, Florida
    Maitland, Florida is a suburban city in the Greater Orlando area known for its lakes, historic district, and role as a residential and business community.
  • D. Kissimmee, Florida
    Kissimmee, Florida is a central Florida city in Osceola County known for its proximity to major Orlando-area theme parks and tourist attractions.
  • E. Madison, Florida
    Madison, Florida is a small historic city in northern Florida known for its rural charm and location along major east–west transportation routes.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66845cb588190820c50eea0c40d83 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.