Triple

T6869170
Position Surface form Disambiguated ID Type / Status
Subject Julian B. Lane Riverfront Park E158493 entity
Predicate ownedBy P347 FINISHED
Object City of Tampa E3075 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: City of Tampa | Statement: [Julian B. Lane Riverfront Park, ownedBy, City of Tampa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Tampa
Context triple: [Julian B. Lane Riverfront Park, ownedBy, City of Tampa]
  • A. Tampa, Florida chosen
    Tampa, Florida is a major city on Florida’s Gulf Coast known for its professional sports teams, port and business center, and role as a key hub in the greater Tampa Bay area.
  • B. St. Petersburg, Florida
    St. Petersburg, Florida is a coastal city on Florida’s Gulf Coast known for its sunny climate, beaches, and vibrant arts and cultural scene.
  • C. City of Plant City
    The City of Plant City is a municipality in central Florida best known for its agricultural heritage and annual Florida Strawberry Festival.
  • D. Banana City
    Banana City is the popular nickname for Jalgaon, a city in Maharashtra, India, renowned for its extensive banana production and trade.
  • E. The Magic City
    The Magic City is a nickname for Birmingham, Alabama, highlighting its rapid growth during the late 19th and early 20th centuries as an industrial and economic 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6c3414819085b816c9455cee7a completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:22 p.m.