Triple

T19007229
Position Surface form Disambiguated ID Type / Status
Subject Brunswick, Georgia E465119 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Sea Island NE NERFINISHED

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: Sea Island | Statement: [Brunswick, Georgia, hasNearbyAttraction, Sea Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea Island
Context triple: [Brunswick, Georgia, hasNearbyAttraction, Sea Island]
  • A. Sea Island chosen
    Sea Island is an exclusive resort and residential community on the Georgia coast, renowned for its luxury accommodations, golf courses, and seaside amenities.
  • B. Sea Island
    Sea Island is a small island in Richmond, British Columbia, best known as the site of Vancouver International Airport and associated aviation and commercial facilities.
  • C. Red Island
    Red Island is the English meaning of the name Île-Rousse, a coastal town in Corsica known for its reddish rock formations and beaches.
  • D. Red Island
    Red Island is a nickname for Rote Insel, a distinctive neighborhood in Berlin known for its triangular layout and historically working-class character.
  • E. Ship Island
    Ship Island is a barrier island off the Mississippi Gulf Coast known for its historic Fort Massachusetts, beaches, and role in coastal defense and tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a561848190bd957f248471c191 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.