Triple

T9410290
Position Surface form Disambiguated ID Type / Status
Subject Wind of the Sea E226686 entity
Predicate hasEnglishName P3437 FINISHED
Object Wind of the Sea E226686 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: Wind of the Sea | Statement: [Wind of the Sea, hasEnglishName, Wind of the Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wind of the Sea
Context triple: [Wind of the Sea, hasEnglishName, Wind of the Sea]
  • A. Wind of the Sea chosen
    Wind of the Sea is the English translation of the Welsh name "Gwynt y Môr," used for one of the world’s larger offshore wind farms located off the coast of North Wales.
  • B. Beyond the Sea
    "Beyond the Sea" is a popular 1959 pop standard, adapted from the French song "La Mer," that became one of Bobby Darin's signature hits.
  • C. Shivering Sea
    The Shivering Sea is a frigid, northern ocean in the world of *A Song of Ice and Fire* that lies beyond the eastern and northern coasts of Westeros and Essos.
  • D. Ocean of Storms
    Ocean of Storms is a vast lunar mare on the Moon’s near side, notable as the landing region of several Apollo missions and characterized by its dark basaltic plains.
  • E. Out to Sea
    Out to Sea is a 1997 romantic comedy film starring Jack Lemmon and Walter Matthau as reluctant dance hosts on a cruise ship.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5255e4fc81908bf2f69c9a12ef83 completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11026b8688190b958ca65dae2d588 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:47 p.m.