Triple

T34623657
Position Surface form Disambiguated ID Type / Status
Subject Yūgumo-class destroyer E889074 entity
Predicate followedBy P78 FINISHED
Object Akizuki-class destroyer
The Akizuki-class destroyer was a World War II-era class of Japanese warships designed primarily for anti-aircraft escort duties, featuring advanced radar and heavy anti-aircraft armament compared to earlier destroyer classes.
E2113920 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: Akizuki-class destroyer | Statement: [Yūgumo-class destroyer, followedBy, Akizuki-class destroyer]
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: Akizuki-class destroyer
Triple: [Yūgumo-class destroyer, followedBy, Akizuki-class destroyer]
Generated description
The Akizuki-class destroyer was a World War II-era class of Japanese warships designed primarily for anti-aircraft escort duties, featuring advanced radar and heavy anti-aircraft armament compared to earlier destroyer classes.

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_69f349d64a388190a013cfa9bd33fad7 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722257e6c81908b0f7caebf4fe933 completed May 3, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a376f8e1bb08190a4f653170d5cc1bb completed June 21, 2026, 4:58 a.m.
NEDg Description generation batch_6a37715f5fe48190b3e55077244032ce completed June 21, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_6a37722ef0b48190b44093b10978145a completed June 21, 2026, 5:10 a.m.
Created at: May 1, 2026, 2:04 a.m.