Triple

T3591881
Position Surface form Disambiguated ID Type / Status
Subject Port of Tampa E76043 entity
Predicate servesRegion P82 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: [Port of Tampa, servesRegion, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florida
Context triple: [Port of Tampa, servesRegion, 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. Florida
    Florida is a residential suburb of Roodepoort in Gauteng, South Africa, known for its lakes, schools, and commuter access to Johannesburg.
  • C. Florida
    Florida is a small rural town located in the northern part of Berkshire County, Massachusetts, known for its mountainous terrain and proximity to the Mohawk Trail.
  • D. La Florida
    La Florida is a populous residential commune and suburb of Santiago in central Chile, known for its urban development and commercial activity.
  • E. Esto, Florida
    Esto, Florida is a small rural town located in Holmes County in the Florida Panhandle near the Alabama state line.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15a546481909c72dac80d65e1fb completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030bc5f081908d56edc4ff550d77 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:22 p.m.