Triple

T32226854
Position Surface form Disambiguated ID Type / Status
Subject Akizuki class E823224 entity
Predicate hasShip P14595 FINISHED
Object Japanese destroyer Teruzuki
Japanese destroyer Teruzuki was a World War II Imperial Japanese Navy anti-aircraft destroyer noted for its heavy armament and service in major Pacific naval engagements.
E1999373 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 Teruzuki | Statement: [Akizuki class, hasShip, Japanese destroyer Teruzuki]
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 Teruzuki
Triple: [Akizuki class, hasShip, Japanese destroyer Teruzuki]
Generated description
Japanese destroyer Teruzuki was a World War II Imperial Japanese Navy anti-aircraft destroyer noted for its heavy armament and service in major Pacific naval engagements.

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_69f3490b4f948190b99e4f999f5be25f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bbcbd31c8190a482a5fd5040410d completed May 3, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46ca31dc8190b2c888ae515feb71 completed June 15, 2026, 12:26 a.m.
NEDg Description generation batch_6a2f47413e348190a715db547353cab7 completed June 15, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a2f47b284cc8190b7cc87543cb256fc completed June 15, 2026, 12:30 a.m.
Created at: May 1, 2026, 12:38 a.m.