Triple

T21166653
Position Surface form Disambiguated ID Type / Status
Subject Palacký Bridge E521580 entity
Predicate hasLocalName P6353 FINISHED
Object Palackého most 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: Palackého most | Statement: [Palacký Bridge, hasLocalName, Palackého most]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palackého most
Context triple: [Palacký Bridge, hasLocalName, Palackého most]
  • A. Palacký Bridge chosen
    Palacký Bridge is a historic stone road bridge in Prague, Czech Republic, known for connecting the Smíchov district with the New Town across the Vltava River.
  • B. Masaryk Bridge
    Masaryk Bridge is a notable historic bridge in Kralupy nad Vltavou, Czech Republic, named after the first Czechoslovak president Tomáš Garrigue Masaryk.
  • C. Mariánský most
    Mariánský most is a distinctive modern cable-stayed road bridge spanning the Elbe River in Ústí nad Labem in the Czech Republic.
  • D. Havelian bridge
    Havelian bridge is a road bridge in the Havelian area of Khyber Pakhtunkhwa, Pakistan, serving as a key crossing and transport link in the region.
  • E. Liteyny Bridge
    Liteyny Bridge is a major steel bascule bridge in Saint Petersburg, Russia, known for carrying traffic across the Neva River and for its role in the city's historic urban landscape.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270fce708190a5715b55b406dd4e completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.