Triple

T9483230
Position Surface form Disambiguated ID Type / Status
Subject Arleigh Burke E228696 entity
Predicate nickname P55 FINISHED
Object 31-knot Burke E230705 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: 31-knot Burke | Statement: [Arleigh Burke, nickname, 31-knot Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 31-knot Burke
Context triple: [Arleigh Burke, nickname, 31-knot Burke]
  • A. Daisy Cruiser
    Daisy Cruiser is a tropical, cruise-ship-themed race course in the Mario Kart series known for its tilting decks, moving obstacles, and sunny vacation atmosphere.
  • B. HMS Seahawk
    HMS Seahawk is the Royal Navy’s air station at RNAS Culdrose in Cornwall, serving as a major base for naval aviation training and operations.
  • C. Benham-class destroyer chosen
    The Benham-class destroyer was a group of U.S. Navy warships built in the late 1930s that featured improved torpedo armament and served extensively during World War II.
  • D. SS Yarmouth
    SS Yarmouth was a steamship operated by Marcus Garvey’s Black Star Line, notable for its role in the early 1920s Black nationalist and Pan-African shipping enterprise.
  • E. Arielle Ship
    Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804c859081908c261ad16b501f0d completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0620608190a6697777ec2eec26 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:55 p.m.