Triple

T11523073
Position Surface form Disambiguated ID Type / Status
Subject Seminole County, Florida E273215 entity
Predicate hasCity P316 FINISHED
Object Oviedo, Florida E471571 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: Oviedo, Florida | Statement: [Seminole County, Florida, hasCity, Oviedo, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oviedo, Florida
Context triple: [Seminole County, Florida, hasCity, Oviedo, Florida]
  • A. 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.
  • B. Cocoa, Florida
    Cocoa, Florida is a small city on Florida’s Space Coast known for its historic downtown, proximity to Cape Canaveral and Cocoa Beach, and access to the Indian River Lagoon.
  • C. Oviedo, Florida, United States chosen
    Oviedo, Florida, United States is a suburban city near Orlando known for its rapid growth, family-friendly communities, and strong high school football culture.
  • D. Lakeland, Florida
    Lakeland, Florida is a mid-sized city in central Florida known for its numerous lakes, historic downtown, and long-standing ties to Major League Baseball.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef822a90e48190874a87bd9a634685 completed April 27, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:37 p.m.