Triple

T13572160
Position Surface form Disambiguated ID Type / Status
Subject Shoreline Park E324189 entity
Predicate operatedBy P86 FINISHED
Object City of Gulf Breeze E39100 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 Gulf Breeze | Statement: [Shoreline Park, operatedBy, City of Gulf Breeze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Gulf Breeze
Context triple: [Shoreline Park, operatedBy, City of Gulf Breeze]
  • A. Gulf Breeze, Florida chosen
    Gulf Breeze, Florida is a small coastal city in Santa Rosa County known for its waterfront location on the Pensacola Bay and proximity to beaches and the Gulf Islands National Seashore.
  • B. Whiting Field
    Whiting Field is a U.S. Navy airfield in Florida that serves as a major training base for naval aviators.
  • C. City of Palms
    City of Palms is the nickname for Fort Myers, Florida, a Gulf Coast city known for its abundant palm trees and tropical ambiance.
  • D. City of Palms
    City of Palms is the nickname of Tarapoto, a Peruvian city in the Amazon rainforest renowned for its abundant palm trees and lush tropical surroundings.
  • E. Gulf Shores
    Gulf Shores is a popular coastal resort city on Alabama’s Gulf of Mexico shoreline, known for its white-sand beaches and tourism.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942a29b88190acefc8b3b91d849f completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:48 p.m.