Triple

T31362426
Position Surface form Disambiguated ID Type / Status
Subject Gorzów Wielkopolski E799913 entity
Predicate otherCapitalOfVoivodeship P116722 FINISHED
Object Zielona Góra 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: Zielona Góra | Statement: [Gorzów Wielkopolski, otherCapitalOfVoivodeship, Zielona Góra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: otherCapitalOfVoivodeship
Context triple: [Gorzów Wielkopolski, otherCapitalOfVoivodeship, Zielona Góra]
  • A. regionalCapitalOfVoivodeship
    Indicates that a location serves as the administrative capital of a specific voivodeship (province or region).
  • B. previousVoivodeshipCapital chosen
    Indicates that one entity served as the capital of a voivodeship before another capital or administrative change occurred.
  • C. voivodeshipCapitalSince
    Indicates that a location has served as the capital of a voivodeship (an administrative region) starting from a specified point in time.
  • D. associatedWithVoivodeshipCapital
    Indicates a relationship where something is linked or connected to the capital city of a voivodeship (a regional administrative unit).
  • E. associatedVoivodeship
    Indicates that one entity is administratively or geographically linked to a specific voivodeship (province-level region).
  • 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_69f224e6b7448190ac6bf97ad7364160 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
Created at: April 29, 2026, 9:18 p.m.