Triple

T21240747
Position Surface form Disambiguated ID Type / Status
Subject Góra E523461 entity
Predicate gmina P852 FINISHED
Object Gmina 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: Gmina Góra | Statement: [Góra, gmina, Gmina Góra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gmina Góra
Context triple: [Góra, gmina, Gmina Góra]
  • A. Gmina Góra chosen
    Gmina Góra is an administrative district and urban-rural municipality in southwestern Poland, centered on the town of Góra in the Lower Silesian Voivodeship.
  • B. Gmina Górno
    Gmina Górno is a rural administrative district in south-central Poland, located in the Świętokrzyskie Voivodeship.
  • C. Gmina Góra Świętej Małgorzaty
    Gmina Góra Świętej Małgorzaty is a rural administrative district in central Poland, situated within the Łódź Voivodeship.
  • D. Gmina Górzyca
    Gmina Górzyca is a rural administrative district in western Poland, located in the Lubusz Voivodeship near the German border.
  • E. Gmina Gorlice
    Gmina Gorlice is an administrative district in southern Poland that encompasses the town of Gorlice and surrounding rural areas.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735239f48819091ffe518b1aed2e8 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:47 p.m.