Triple

T36619893
Position Surface form Disambiguated ID Type / Status
Subject Soviet Land E903702 entity
Predicate associatedWith P37 FINISHED
Object Soviet Union E363 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: Soviet Union | Statement: [Soviet Land, associatedWith, Soviet Union]

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_69f76e6960e4819092047756ceb9a17e completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c48447fc81909c73dfa3b780b40b completed May 3, 2026, 9:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20b90f688190bc49703a1d453cd3 completed June 23, 2026, 5:59 a.m.
Created at: May 3, 2026, 4:11 p.m.