Triple

T29357592
Position Surface form Disambiguated ID Type / Status
Subject Stepan Bandera E744487 entity
Predicate deathPlace P21 FINISHED
Object West Germany E862 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: West Germany | Statement: [Stepan Bandera, deathPlace, West Germany]

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_69f0a79aee588190b490f19d93c6e52d completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66985cdf881909808aaca2394310d completed May 2, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d48ed7c8190a11a4c7bd47a34c4 completed June 8, 2026, 2:47 a.m.
Created at: April 28, 2026, 2:14 p.m.