Triple

T16955400
Position Surface form Disambiguated ID Type / Status
Subject Town Hall of Prešov E411286 entity
Predicate operator P179 FINISHED
Object City of Prešov E83895 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: City of Prešov | Statement: [Town Hall of Prešov, operator, City of Prešov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Prešov
Context triple: [Town Hall of Prešov, operator, City of Prešov]
  • A. Prešov chosen
    Prešov is a historic city in eastern Slovakia known for its preserved medieval center and role as a regional cultural and economic hub.
  • B. Prešporok
    Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
  • C. Town Hall of Prešov
    The Town Hall of Prešov is a historic municipal building in the Slovak city of Prešov, notable for its architectural heritage and role as a cultural and administrative center.
  • D. Námestovo
    Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
  • E. Spišské Podhradie
    Spišské Podhradie is a historic town in eastern Slovakia known for its proximity to the UNESCO-listed Spiš Castle and the ecclesiastical complex of Spišská Kapitula.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc06e6b481908d8032f5772762c9 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.