Triple

T22834649
Position Surface form Disambiguated ID Type / Status
Subject Gmina Gnojno E565909 entity
Predicate seat P75 FINISHED
Object Gnojno 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: Gnojno | Statement: [Gmina Gnojno, seat, Gnojno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gnojno
Context triple: [Gmina Gnojno, seat, Gnojno]
  • A. Gnojno chosen
    Gnojno is a village in south-central Poland located within the administrative area of Busko County in the Świętokrzyskie Voivodeship.
  • B. Glodzhevo
    Glodzhevo is a small town in northeastern Bulgaria, situated within Ruse Province near the Romanian border.
  • C. Dobro Pole
    Dobro Pole is a mountainous area on the Macedonian–Greek border best known as the site of a decisive World War I battle that helped break the Balkan front.
  • D. Zgorzelec
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • E. Gonjače
    Gonjače is a small village in western Slovenia known for its scenic hilltop location and panoramic tower overlooking the Brda wine-growing region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2e3e7481909d12dc5008136880 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.