Triple

T21893370
Position Surface form Disambiguated ID Type / Status
Subject Eagle Lake, Florida E540609 entity
Predicate locatedNear P294 FINISHED
Object Lakeland, 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: Lakeland, Florida | Statement: [Eagle Lake, Florida, locatedNear, Lakeland, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeland, Florida
Context triple: [Eagle Lake, Florida, locatedNear, Lakeland, Florida]
  • A. Lakeland, Florida chosen
    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.
  • B. Lakeland
    Lakeland is a residential neighborhood located within the city of College Park in Prince George's County, Maryland.
  • C. Lakeland
    Lakeland is a small rural locality in Far North Queensland, Australia, known as an agricultural hub and gateway stop for travelers heading toward Cape York Peninsula.
  • D. Lauderdale Lakes, Florida
    Lauderdale Lakes, Florida is a small suburban city in Broward County known for its diverse population and residential communities within the Miami metropolitan area.
  • E. 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.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc46dd481908a119cfbe26564a3 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.