Triple

T194696
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl XXXIX E3793 entity
Predicate state P87 FINISHED
Object Florida E549 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: Florida | Statement: [Super Bowl XXXIX, state, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florida
Context triple: [Super Bowl XXXIX, state, Florida]
  • A. Florida chosen
    Florida is a southeastern U.S. state known for its warm climate, extensive beaches, tourism industry centered on attractions like Walt Disney World, and significant cultural and economic influence.
  • B. Louisiana
    Louisiana is a U.S. state in the Deep South known for its unique Creole and Cajun cultures, the city of New Orleans, and its rich musical and culinary traditions.
  • C. Georgia
    Georgia is a country at the crossroads of Eastern Europe and Western Asia, known for its ancient culture, mountainous landscapes, and historic role along the Silk Road.
  • D. Georgia
    Georgia is a southeastern U.S. state known for its diverse landscapes, historic cities like Atlanta and Savannah, and significant roles in both the Civil War and the civil rights movement.
  • E. Alabama
    Alabama is a southeastern U.S. state known for its significant role in American history, diverse landscapes from Gulf Coast beaches to Appalachian foothills, and major contributions to industry, agriculture, and the civil rights movement.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25969425081908e178db8ba4631c2 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3c41191a08190afc0fd06d6845d68 completed March 1, 2026, 4:44 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.