Triple

T35675706
Position Surface form Disambiguated ID Type / Status
Subject Hungarian Crown lands within Austria-Hungary E1030849 entity
Predicate hadSeparate P126426 FINISHED
Object customs administration 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: customs administration | Statement: [Hungarian Crown lands within Austria-Hungary, hadSeparate, customs administration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadSeparate
Context triple: [Hungarian Crown lands within Austria-Hungary, hadSeparate, customs administration]
  • A. hadSeparateBranch chosen
    Indicates that one entity maintained a distinct, independent branch or subdivision separate from another entity.
  • B. wouldHaveBeenSeparatedFrom
    Indicates a hypothetical or counterfactual situation in which one entity would have been divided, detached, or kept apart from another entity if certain conditions had occurred.
  • C. laterSeparatedFrom
    Indicates that one entity became separated from another at a later time than some referenced separation event.
  • D. hadCommon
    Indicates that two or more entities shared the same attribute, experience, or element in common.
  • E. hadCustom
    Indicates that an entity previously possessed or was associated with a customized or user-defined version of something.
  • 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_69f76e0acfc0819082c8495c2210ce73 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79fe46b088190b469760929654f7f completed May 3, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69f79e4d885881908a3612e2e75cf84f completed May 3, 2026, 7:13 p.m.
Created at: May 3, 2026, 4:05 p.m.