Triple

T26172304
Position Surface form Disambiguated ID Type / Status
Subject Runo XI E654441 entity
Predicate meter P1997 FINISHED
Object Kalevala meter
Kalevala meter is a traditional Finnish trochaic tetrameter verse form used in oral poetry and famously in the national epic Kalevala.
E1697289 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: Kalevala meter | Statement: [Runo XI, meter, Kalevala meter]
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: Kalevala meter
Triple: [Runo XI, meter, Kalevala meter]
Generated description
Kalevala meter is a traditional Finnish trochaic tetrameter verse form used in oral poetry and famously in the national epic Kalevala.

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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c4485748190aff17798bca51406 completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c7eda7f08190ac8074cab2dfbe57 completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c8bf3ee08190964adc437235340b completed May 23, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a11c981c70c8190bfe0da42958fa494 completed May 23, 2026, 3:36 p.m.
Created at: April 26, 2026, 8:35 p.m.