Triple

T14689167
Position Surface form Disambiguated ID Type / Status
Subject known world (A Song of Ice and Fire) E344995 entity
Predicate hasRegion P285 FINISHED
Object Shivering Sea E349990 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: Shivering Sea | Statement: [known world (A Song of Ice and Fire), hasRegion, Shivering Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shivering Sea
Context triple: [known world (A Song of Ice and Fire), hasRegion, Shivering Sea]
  • A. Shivering Sea chosen
    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.
  • B. Night Sea
    "Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
  • C. 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.
  • D. Sea of Ice
    Sea of Ice is the English translation of "Mer de Glace," the largest and one of the most famous glaciers in the French Alps near Chamonix.
  • E. Sea of Ice
    Sea of Ice is a themed area within SeaWorld Orlando inspired by polar environments and icy seascapes, typically featuring related attractions and exhibits.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5844de481908a796eaa474bfde9 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde189771c81909289b8b044e32547 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.