Triple

T4729994
Position Surface form Disambiguated ID Type / Status
Subject Glynn County E104981 entity
Predicate contains P35 FINISHED
Object Sea Island E210501 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: Sea Island | Statement: [Glynn County, contains, Sea Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea Island
Context triple: [Glynn County, contains, 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. 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.
  • E. Anchor Island
    Anchor Island is an island located within Dusky Sound, a remote and rugged fiord in Fiordland, southwestern New Zealand.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd646135c881909030c21a163cc619 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89c899f08190bb8227b13a90185d completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:19 p.m.