Triple

T26318871
Position Surface form Disambiguated ID Type / Status
Subject Венгрув, Люблінська губернія, Російська імперія E662044 entity
Predicate hasFormerAdministrativeAffiliation P118676 FINISHED
Object Люблінська губернія Російської імперії 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: Люблінська губернія Російської імперії | Statement: [Венгрув, Люблінська губернія, Російська імперія, hasFormerAdministrativeAffiliation, Люблінська губернія Російської імперії]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerAdministrativeAffiliation
Context triple: [Венгрув, Люблінська губернія, Російська імперія, hasFormerAdministrativeAffiliation, Люблінська губернія Російської імперії]
  • A. formerAdministrativeAffiliation chosen
    Indicates that an entity used to be administratively affiliated with another entity in the past, but that affiliation no longer holds.
  • B. hasFormerInstitution
    Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
  • C. hasFormerInstitutionName
    Indicates that an institution was previously known by a different name.
  • D. affiliationHistory
    Indicates a historical record of an entity’s past and present organizational or group affiliations, including when and how those affiliations changed over time.
  • E. formerAffiliationLevel
    Indicates that an entity previously held a specific level or status within an affiliation, but no longer does so.
  • 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_69ee812e73048190aae587f1d51e5a06 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 26, 2026, 10:26 p.m.