Triple

T20755459
Position Surface form Disambiguated ID Type / Status
Subject Admiral of the West E510831 entity
Predicate relatedTo P37 FINISHED
Object Admiral of the South 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: Admiral of the South | Statement: [Admiral of the West, relatedTo, Admiral of the South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Admiral of the South
Context triple: [Admiral of the West, relatedTo, Admiral of the South]
  • A. Admiral of the West chosen
    Admiral of the West was a senior medieval English naval command responsible for overseeing the king’s fleets and maritime defense in the western seas around England.
  • B. Admiral Grant
    Admiral Grant is a fictional high-ranking naval officer portrayed by actor John Amos.
  • C. Admiral of the North
    Admiral of the North was a senior English naval command in the late Middle Ages responsible for overseeing fleets and maritime defense in the northern seas around England.
  • D. Almirante
    Almirante is a coastal town in Panama known as a key port and transport hub in the Bocas del Toro region.
  • E. Admiral Bobbery
    Admiral Bobbery is a grizzled, bomb-shaped Bob-omb sailor and retired sea captain who joins Mario’s party as an explosive ally in Paper Mario: The Thousand-Year Door.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22fbc4c8190866a888612c6ad23 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.