Triple

T7493542
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 98 in Florida E177066 entity
Predicate passesThrough P225 FINISHED
Object Lakeland, Florida E155311 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: Lakeland, Florida | Statement: [U.S. Route 98 in Florida, passesThrough, Lakeland, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakeland, Florida
Context triple: [U.S. Route 98 in Florida, passesThrough, 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. 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.
  • 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. Sarasota, Florida
    Sarasota, Florida is a Gulf Coast city known for its beaches, arts and cultural scene, and as a longtime hub for Major League Baseball spring training.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f579cb2c8190a4e7d8b0bdec5cf8 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84eefbcec8190bef282452aaf5515 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:43 p.m.