Triple

T9545898
Position Surface form Disambiguated ID Type / Status
Subject South Ronaldsay E230283 entity
Predicate nearbyIsland P2064 FINISHED
Object Flotta E367582 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: Flotta | Statement: [South Ronaldsay, nearbyIsland, Flotta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flotta
Context triple: [South Ronaldsay, nearbyIsland, Flotta]
  • A. Flotta chosen
    Flotta is a small island in the Orkney archipelago of Scotland, known for its oil terminal and role in North Sea petroleum operations.
  • B. High Seas Fleet
    The High Seas Fleet was the main battle fleet of the Imperial German Navy during World War I, best known for its clashes with the British Royal Navy, including the Battle of Jutland.
  • C. Red Fleet
    The Red Fleet was the naval force of the Soviet Union, encompassing its various fleets and flotillas during much of the 20th century.
  • D. Surfleet
    Surfleet is a small village and civil parish in the South Holland district of Lincolnshire, England, known for its rural setting and historic church.
  • E. La Marina
    La Marina is a traditional coastal region of Cantabria in northern Spain, known for its seaside towns, beaches, and maritime landscapes.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9902fca081909125660ae6336d3f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c747e608190b2fa470324fff454 completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:01 p.m.