Triple

T13504337
Position Surface form Disambiguated ID Type / Status
Subject Longwood station E320973 entity
Predicate servesCity P82 FINISHED
Object Longwood, Florida E945198 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: Longwood, Florida | Statement: [Longwood station, servesCity, Longwood, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longwood, Florida
Context triple: [Longwood station, servesCity, Longwood, Florida]
  • A. Longwood, Florida chosen
    Longwood, Florida is a suburban city in the Orlando metropolitan area known for its historic district and residential communities.
  • B. Largo, Florida
    Largo, Florida is a mid-sized city in the Tampa Bay area known for its residential communities, parks, and proximity to Gulf Coast beaches.
  • C. Fleming Island, Florida
    Fleming Island, Florida is a suburban community in Clay County near Jacksonville, known for its residential neighborhoods, schools, and waterfront access along the St. Johns River.
  • D. Tavares, Florida
    Tavares, Florida is a small central Florida city known as the administrative center of Lake County and for its waterfront location on several lakes.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942668f481909c6d892fdfd32c02 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:43 p.m.