Triple

T17616911
Position Surface form Disambiguated ID Type / Status
Subject Kőszeg E429106 entity
Predicate hasTwinTown P919 FINISHED
Object Mikołów 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: Mikołów | Statement: [Kőszeg, hasTwinTown, Mikołów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikołów
Context triple: [Kőszeg, hasTwinTown, Mikołów]
  • A. Mikołów chosen
    Mikołów is a historic town in southern Poland known for its traditional Silesian character and proximity to the regional capital, Katowice.
  • B. Miłków
    Miłków is a village in southwestern Poland situated in the scenic Jelenia Góra Valley near the Karkonosze Mountains.
  • C. Młociny
    Młociny is a northern Warsaw neighborhood best known as the terminus of the city’s M1 metro line and a major transport hub.
  • D. Sułów
    Sułów is a village in eastern Poland located within Zamość County in the Lublin Voivodeship.
  • E. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.