Triple

T18196755
Position Surface form Disambiguated ID Type / Status
Subject Michael Agricola E435680 entity
Predicate notableWork P4 FINISHED
Object Abckiria NE NERFINISHED

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: Abckiria | Statement: [Michael Agricola, notableWork, Abckiria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abckiria
Context triple: [Michael Agricola, notableWork, Abckiria]
  • A. Abckiria chosen
    Abckiria is a 16th-century Finnish primer and religious text by Mikael Agricola, regarded as the first book printed in the Finnish language.
  • B. Nobadia
    Nobadia was a medieval Christian Nubian kingdom located in what is now northern Sudan and southern Egypt.
  • C. Azania
    Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
  • D. Anbiya
    Anbiya is the Arabic plural form of "nabi," referring collectively to the prophets in Islamic tradition.
  • E. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d377d48190869a033d12f6ee80 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.