Triple

T36375759
Position Surface form Disambiguated ID Type / Status
Subject Minekaze-class destroyer E895893 entity
Predicate hasShip P14595 FINISHED
Object Japanese destroyer Nokaze
Japanese destroyer Nokaze was the lead ship of the Minekaze-class destroyers of the Imperial Japanese Navy, serving primarily in patrol and escort roles during the early stages of World War II.
E2191546 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: Japanese destroyer Nokaze | Statement: [Minekaze-class destroyer, hasShip, Japanese destroyer Nokaze]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Japanese destroyer Nokaze
Triple: [Minekaze-class destroyer, hasShip, Japanese destroyer Nokaze]
Generated description
Japanese destroyer Nokaze was the lead ship of the Minekaze-class destroyers of the Imperial Japanese Navy, serving primarily in patrol and escort roles during the early stages of World War II.

Provenance (5 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_69f76e5115588190ad8738860b7bc68b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb17487c819084b51886a1a1c456 completed May 3, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a0942d5a88190b0dfb0e65f5b4c5c completed June 23, 2026, 4:19 a.m.
NEDg Description generation batch_6a3a0b4008d08190b97ed0885a046e8e completed June 23, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_6a3a0b773e888190a79e58fe14c2488d completed June 23, 2026, 4:28 a.m.
Created at: May 3, 2026, 4:10 p.m.