Triple

T16797965
Position Surface form Disambiguated ID Type / Status
Subject Cloth Hall (Sukiennice) E408282 entity
Predicate nativeName P15 FINISHED
Object Sukiennice E320378 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: Sukiennice | Statement: [Cloth Hall (Sukiennice), nativeName, Sukiennice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukiennice
Context triple: [Cloth Hall (Sukiennice), nativeName, Sukiennice]
  • A. Sukiennice chosen
    Sukiennice is a historic Renaissance cloth hall and landmark market building located in the main square of Kraków, Poland.
  • B. Sokółka
    Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
  • C. Sokołówka
    Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
  • D. Ryczówek
    Ryczówek is a village in southern Poland located within the administrative district of Gmina Klucze in Lesser Poland Voivodeship.
  • E. Szerzyny
    Szerzyny is a village in southern Poland located within the administrative region of Lesser Poland 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2ab08e8819097072a23c4a62392 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.