Triple

T7608997
Position Surface form Disambiguated ID Type / Status
Subject Mogilev Governorate E172183 entity
Predicate succeededBy P78 FINISHED
Object Smolensk Governorate E40484 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: Smolensk Governorate | Statement: [Mogilev Governorate, succeededBy, Smolensk Governorate]

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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa1f6e888190ac6580724803fbc3 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5c3837c5fc8190ab599c0305b430a7 completed July 19, 2026, 2:36 a.m.
Created at: March 27, 2026, 3:54 p.m.