Triple

T24274170
Position Surface form Disambiguated ID Type / Status
Subject Codex Vindobonensis E605360 entity
Predicate currentCountry P17888 FINISHED
Object Austria E2895 NE FINISHED

How this triple was built (1 step)

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: Austria | Statement: [Codex Vindobonensis, currentCountry, Austria]

Provenance (3 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_69e2954707dc8190915551eb114cfff6 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28d5da53c8190810f4e7777d112ba completed April 29, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe3454e888190afba21a0e4ae5c6c completed May 22, 2026, 5:01 a.m.
Created at: April 18, 2026, 12:07 a.m.