Triple

T7736993
Position Surface form Disambiguated ID Type / Status
Subject Esztergom E175407 entity
Predicate locatedOpposite P3232 FINISHED
Object Štúrovo E280505 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: Štúrovo | Statement: [Esztergom, locatedOpposite, Štúrovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Štúrovo
Context triple: [Esztergom, locatedOpposite, Štúrovo]
  • A. Štúrovo chosen
    Štúrovo is a Slovak town on the Danube River opposite Esztergom, Hungary, known for its cross-border bridge and thermal spa tourism.
  • B. Štrkovec
    Štrkovec is a residential neighborhood and cadastral area within the Ružinov borough of Bratislava, Slovakia.
  • C. Staňkov
    Staňkov is a small town in the Plzeň Region of the Czech Republic, known for its location on the Radbuza River and its traditional West Bohemian character.
  • D. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • E. Trebišov
    Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035923108190842025631e2314cc completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3958ac8190a48ba07bd8ea3251 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:07 p.m.