Triple

T21289453
Position Surface form Disambiguated ID Type / Status
Subject Arthur Laing Bridge E524746 entity
Predicate connects P390 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: [Arthur Laing Bridge, connects, Sea Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea Island
Context triple: [Arthur Laing Bridge, connects, Sea Island]
  • A. Sea Island
    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 chosen
    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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d882408190a2300327cb73b7f6 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.