Triple

T13330691
Position Surface form Disambiguated ID Type / Status
Subject Tavernier, Florida E317564 entity
Predicate locatedBetween P1262 FINISHED
Object Key Largo, Florida E187291 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: Key Largo, Florida | Statement: [Tavernier, Florida, locatedBetween, Key Largo, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Key Largo, Florida
Context triple: [Tavernier, Florida, locatedBetween, Key Largo, Florida]
  • A. Key Largo, Florida chosen
    Key Largo, Florida is a popular island community in the upper Florida Keys known for its coral reefs, diving, and marine tourism.
  • B. Opa-locka, Florida
    Opa-locka, Florida is a city in Miami-Dade County known for its distinctive Moorish Revival architecture and proximity to Miami.
  • C. Ave Maria, Florida
    Ave Maria, Florida is a master-planned Catholic-oriented town in southwest Florida known for its university and distinctive church-centered community design.
  • D. Key West, Florida
    Key West, Florida is a tropical island city at the southern tip of the Florida Keys known for its historic architecture, vibrant nightlife, and sunset views over the Gulf of Mexico.
  • E. Largo, Florida
    Largo, Florida is a mid-sized city in the Tampa Bay area known for its residential communities, parks, and proximity to Gulf Coast beaches.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992fffa0819086610ae3bed2e2f9 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f74612bab88190bf1a895b87be12c1 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:30 p.m.