Triple

T2928273
Position Surface form Disambiguated ID Type / Status
Subject ThunderDome E78896 entity
Predicate ownership P347 FINISHED
Object City of St. Petersburg E52027 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 St. Petersburg | Statement: [ThunderDome, ownership, City of St. Petersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of St. Petersburg
Context triple: [ThunderDome, ownership, City of St. Petersburg]
  • A. St. Petersburg, Florida chosen
    St. Petersburg, Florida is a coastal city on Florida’s Gulf Coast known for its sunny climate, beaches, and vibrant arts and cultural scene.
  • B. St. Petersburg
    St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
  • 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. Tampa, Florida
    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.
  • E. Lakeland
    Lakeland is a residential neighborhood located within the city of College Park in Prince George's County, Maryland.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97ff0ddc8190acba9863bbe4f54b completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224a78bbc8190b4f4cdb058d5a176 completed March 12, 2026, 2:27 a.m.
Created at: March 8, 2026, 2:55 p.m.