Triple

T21395274
Position Surface form Disambiguated ID Type / Status
Subject D3 motorway E527762 entity
Predicate passesNear P416 FINISHED
Object Veselí nad Lužnicí 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: Veselí nad Lužnicí | Statement: [D3 motorway, passesNear, Veselí nad Lužnicí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veselí nad Lužnicí
Context triple: [D3 motorway, passesNear, Veselí nad Lužnicí]
  • A. Veselí nad Lužnicí chosen
    Veselí nad Lužnicí is a small historic town in South Bohemia, Czech Republic, known for its location at the confluence of the Lužnice and Nežárka rivers and its surrounding fishpond landscapes.
  • B. Záhorská Ves
    Záhorská Ves is a small village in western Slovakia known as the country’s westernmost settlement, situated near the Morava River on the border with Austria.
  • C. Lužnice
    Lužnice is a village and municipality in the South Bohemian Region of the Czech Republic, known for its location near the Lužnice River and its natural surroundings.
  • D. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • E. Dunajská Lužná
    Dunajská Lužná is a rapidly growing village and suburban municipality in western Slovakia, located near Bratislava.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.