Triple

T23132563
Position Surface form Disambiguated ID Type / Status
Subject Ustroń E577212 entity
Predicate hasDistrict P459 FINISHED
Object Ustroń Hermanice 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: Ustroń Hermanice | Statement: [Ustroń, hasDistrict, Ustroń Hermanice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ustroń Hermanice
Context triple: [Ustroń, hasDistrict, Ustroń Hermanice]
  • A. Ustroń chosen
    Ustroń is a spa town in southern Poland’s Silesian Beskids, known for its health resorts, mountain tourism, and role as a gateway to popular hiking routes.
  • B. Ostrowsko
    Ostrowsko is a village in southern Poland located within the administrative district of Gmina Nowy Targ in Lesser Poland Voivodeship.
  • C. Ustrzyki Górne
    Ustrzyki Górne is a small mountain village in southeastern Poland that serves as a key tourist base and hiking gateway to the Bieszczady Mountains.
  • D. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • E. Strzyżów
    Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e88909881908c695cd7d39d380c completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.