Triple

T30747697
Position Surface form Disambiguated ID Type / Status
Subject CZ071 E782858 entity
Predicate adminCenterOfRepresentedRegion P117896 FINISHED
Object Olomouc 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: Olomouc | Statement: [CZ071, adminCenterOfRepresentedRegion, Olomouc]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adminCenterOfRepresentedRegion
Context triple: [CZ071, adminCenterOfRepresentedRegion, Olomouc]
  • A. hasRegionCenter
    Indicates that a region is associated with a specific central point or location that serves as its geometric or administrative center.
  • B. adminCenterLocatedOn
    Indicates that the administrative center of an entity is situated on or within a specified geographic or physical feature.
  • C. representsAdministrativeRegion
    Indicates that one entity serves as the administrative region or jurisdiction within which the other entity is governed or managed.
  • D. administrativeCenterRegion
    Indicates that a region serves as the administrative center or seat of government for another territorial unit.
  • E. servesAsRegionalCenterFor chosen
    Indicates that one entity functions as the primary administrative, economic, or service hub for a surrounding region or group of entities.
  • 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_69f224af8d8481908bea03890c5618be completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fce28d6c3081908bf76f5db63ecf68 completed May 7, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69fce12d2f08819082134b5eb3db6a24 completed May 7, 2026, 6:59 p.m.
Created at: April 29, 2026, 8:38 p.m.