Triple

T30804434
Position Surface form Disambiguated ID Type / Status
Subject Lyck E784458 entity
Predicate historicalStateBefore1918 P129965 FINISHED
Object Kingdom of Prussia NE NERFINISHED

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: Kingdom of Prussia | Statement: [Lyck, historicalStateBefore1918, Kingdom of Prussia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalStateBefore1918
Context triple: [Lyck, historicalStateBefore1918, Kingdom of Prussia]
  • A. statusBefore1918
    Indicates that a particular status, condition, or classification applied to an entity prior to the year 1918.
  • B. regionBefore1945
    Indicates that one region existed or was defined in a particular way prior to the year 1945.
  • C. countryBefore1918 chosen
    Indicates that one country existed or held a particular status prior to the year 1918 in relation to another country or temporal reference.
  • D. countryBefore1940
    Indicates that the specified country existed or was recognized as such prior to the year 1940.
  • E. coordinateCountryBefore1945
    Indicates that one country served as the coordinating or administratively responsible country for another (or for a territory) prior to the year 1945.
  • 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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69ff1c91bbac8190b84012dee1cb3b2c completed May 9, 2026, 11:37 a.m.
PD Predicate disambiguation batch_69ff1c23ca508190bb5a435d765b7e53 completed May 9, 2026, 11:36 a.m.
Created at: April 29, 2026, 8:42 p.m.