Triple

T11795928
Position Surface form Disambiguated ID Type / Status
Subject Štúrovo E280505 entity
Predicate hasNotableBridge P386 FINISHED
Object Mária Valéria Bridge E690351 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: Mária Valéria Bridge | Statement: [Štúrovo, hasNotableBridge, Mária Valéria Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mária Valéria Bridge
Context triple: [Štúrovo, hasNotableBridge, Mária Valéria Bridge]
  • A. Mária Valéria Bridge chosen
    Mária Valéria Bridge is a historic road and pedestrian bridge over the Danube River that connects the Hungarian city of Esztergom with Štúrovo in Slovakia.
  • B. Megyeri Bridge
    Megyeri Bridge is a modern cable-stayed bridge over the Danube River in Budapest, Hungary, serving as a key northern bypass for the city’s ring road system.
  • C. Torgovy Bridge
    Torgovy Bridge is a historic pedestrian bridge spanning the Griboyedov Canal in Saint Petersburg, Russia.
  • D. Pevchesky Bridge
    Pevchesky Bridge is a historic pedestrian bridge in Saint Petersburg, Russia, known for spanning the Griboyedov Canal near the city’s central landmarks.
  • E. Pevchesky Bridge
    Pevchesky Bridge is a historic pedestrian bridge in Saint Petersburg, Russia, known for spanning the Moika River near the city’s central cultural and architectural landmarks.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417604a7c819097a601880b88ea6a completed May 1, 2026, 3 a.m.
Created at: April 8, 2026, 9:42 p.m.