Triple

T15660217
Position Surface form Disambiguated ID Type / Status
Subject Miami Circle E376547 entity
Predicate culture P1114 FINISHED
Object Tequesta E77405 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: Tequesta | Statement: [Miami Circle, culture, Tequesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tequesta
Context triple: [Miami Circle, culture, Tequesta]
  • A. Tequesta chosen
    The Tequesta were a Native American people who inhabited the southeastern coast of Florida, particularly around present-day Miami and the Florida Keys, prior to European contact.
  • B. Calusa
    The Calusa were a powerful Indigenous people of southwest Florida known for their complex chiefdom, maritime culture, and resistance to European colonization.
  • C. Tocobaga
    The Tocobaga were a Native American people who inhabited the Tampa Bay region of Florida prior to European contact.
  • D. Opa-locka
    Opa-locka is a city in Miami-Dade County, Florida, known for its distinctive Moorish Revival architecture and themed street names inspired by the tales of One Thousand and One Nights.
  • E. Tequesta, Florida
    Tequesta, Florida is a small coastal village in northern Palm Beach County known for its affluent residential communities, waterfront lifestyle, and proximity to beaches and natural waterways.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef4e6a08190ad8bbafaa3612f22 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7569d30c8190a711d78d05e9b8c5 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:15 a.m.