Triple

T74891
Position Surface form Disambiguated ID Type / Status
Subject Polish Armed Forces in the East E1497 entity
Predicate tookPartIn P149 FINISHED
Object liberation of Polish territories from German occupation LITERAL FINISHED

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: liberation of Polish territories from German occupation | Statement: [Polish Armed Forces in the East, tookPartIn, liberation of Polish territories from German occupation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tookPartIn
Context triple: [Polish Armed Forces in the East, tookPartIn, liberation of Polish territories from German occupation]
  • A. participatedInEvent chosen
    Indicates that an entity took part in or was actively involved in a specific event.
  • B. hasParticipants
    Indicates that an event, activity, or situation involves one or more entities as participants in it.
  • C. introducedTo
    Indicates that one entity caused or facilitated a first meeting or formal presentation between another entity and a third party.
  • D. workedUnder
    Indicates that one entity was hierarchically subordinate to and performed work under the supervision or authority of another entity.
  • E. playedFor
    Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
  • F. None of above.

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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a25314bd6c81908d1cfd4b83f20049 completed Feb. 28, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69a24eae77ec81909015906f31f2b62e completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.