Triple

T2837987
Position Surface form Disambiguated ID Type / Status
Subject Mierzanowo E62395 entity
Predicate countrySubdivision P766 FINISHED
Object Gmina Grudusk E304476 NE FINISHED

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 Grudusk | Statement: [Mierzanowo, countrySubdivision, Gmina Grudusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gmina Grudusk
Context triple: [Mierzanowo, countrySubdivision, Gmina Grudusk]
  • A. Gmina Grudusk chosen
    Gmina Grudusk is a rural administrative district in east-central Poland, situated in Ciechanów County within the Masovian Voivodeship.
  • B. Gmina Gorlice
    Gmina Gorlice is an administrative district in southern Poland that encompasses the town of Gorlice and surrounding rural areas.
  • C. Gmina Trzebinia
    Gmina Trzebinia is an urban-rural administrative district in southern Poland, located in the Lesser Poland Voivodeship.
  • D. Gmina Skawina
    Gmina Skawina is an administrative district in southern Poland that includes the town of Skawina and surrounding villages within the Lesser Poland Voivodeship.
  • E. Gmina Skarżysko-Kamienna
    Gmina Skarżysko-Kamienna is an urban-rural administrative district in south-central Poland centered on the town of Skarżysko-Kamienna in the Świętokrzyskie Voivodeship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdef015bc81909f6a2ff17b22862f completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03133de8c8190942c727b89c81b28 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 10:01 p.m.