Triple

T23013407
Position Surface form Disambiguated ID Type / Status
Subject course runs along St. Petersburg waterfront E572965 entity
Predicate near P350 FINISHED
Object downtown St. Petersburg NE NERFINISHED

How this triple was built (3 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: downtown St. Petersburg | Statement: [course runs along St. Petersburg waterfront, near, downtown St. Petersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown St. Petersburg
Context triple: [course runs along St. Petersburg waterfront, near, downtown St. Petersburg]
  • A. downtown Panama City, Florida
    Downtown Panama City, Florida is the central business and waterfront district of Panama City, known for its historic streets, local shops, and access to St. Andrews Bay.
  • B. City of St. Petersburg government
    The City of St. Petersburg government is the municipal authority responsible for governing and providing public services to the city of St. Petersburg, Florida.
  • C. Downtown Tampa
    Downtown Tampa is the central business and entertainment district of Tampa, Florida, featuring a mix of corporate offices, cultural venues, waterfront attractions, and residential developments.
  • D. downtown Pensacola
    Downtown Pensacola is the historic and cultural core of Pensacola, Florida, known for its waterfront, vibrant festivals, dining, and entertainment.
  • E. downtown Clearwater
    Downtown Clearwater is the central business and cultural district of Clearwater, Florida, featuring waterfront parks, civic venues, and a mix of commercial and residential areas along the Intracoastal Waterway.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: downtown St. Petersburg
Target entity description: Downtown St. Petersburg is the vibrant urban core of St. Petersburg, Florida, known for its waterfront parks, arts and cultural attractions, restaurants, and walkable city streets along Tampa Bay.
  • A. downtown Panama City, Florida
    Downtown Panama City, Florida is the central business and waterfront district of Panama City, known for its historic streets, local shops, and access to St. Andrews Bay.
  • B. City of St. Petersburg government
    The City of St. Petersburg government is the municipal authority responsible for governing and providing public services to the city of St. Petersburg, Florida.
  • C. Downtown Tampa
    Downtown Tampa is the central business and entertainment district of Tampa, Florida, featuring a mix of corporate offices, cultural venues, waterfront attractions, and residential developments.
  • D. downtown Pensacola
    Downtown Pensacola is the historic and cultural core of Pensacola, Florida, known for its waterfront, vibrant festivals, dining, and entertainment.
  • E. downtown Clearwater
    Downtown Clearwater is the central business and cultural district of Clearwater, Florida, featuring waterfront parks, civic venues, and a mix of commercial and residential areas along the Intracoastal Waterway.
  • F. None of above. chosen

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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e300008190bb12c6388a8b3280 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.