Triple

T33484731
Position Surface form Disambiguated ID Type / Status
Subject Agano-class cruiser E857580 entity
Predicate ship P880 FINISHED
Object Japanese cruiser Agano
Japanese cruiser Agano was the lead ship of the Imperial Japanese Navy’s Agano-class light cruisers, serving as a flotilla leader during World War II before being sunk by a U.S. submarine in 1944.
E2053440 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 cruiser Agano | Statement: [Agano-class cruiser, ship, Japanese cruiser Agano]
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 cruiser Agano
Triple: [Agano-class cruiser, ship, Japanese cruiser Agano]
Generated description
Japanese cruiser Agano was the lead ship of the Imperial Japanese Navy’s Agano-class light cruisers, serving as a flotilla leader during World War II before being sunk by a U.S. submarine in 1944.

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_69f3497547608190a1a0f2365fb713ee completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e531be388190b1b4a0cb1bc1da75 completed May 3, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595b644f0819080864275f9490df5 completed June 19, 2026, 7:17 p.m.
NEDg Description generation batch_6a3599aae2e48190ac4967233e980b41 completed June 19, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_6a359a3dd81081909104433137c7791f completed June 19, 2026, 7:36 p.m.
Created at: May 1, 2026, 1:38 a.m.