Triple

T14499111
Position Surface form Disambiguated ID Type / Status
Subject Karel IV. E359582 entity
Predicate commissioned P3145 FINISHED
Object Charles Bridge E57425 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: Charles Bridge | Statement: [Karel IV., commissioned, Charles Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Bridge
Context triple: [Karel IV., commissioned, Charles Bridge]
  • A. Charles Bridge chosen
    Charles Bridge is a historic stone arch bridge in Prague, Czech Republic, famed for its Gothic towers and baroque statues and for linking the city’s Old Town with the Lesser Town across the Vltava River.
  • B. Kapellbrücke
    Kapellbrücke is a historic 14th-century covered wooden footbridge in Lucerne, Switzerland, famous for its interior paintings and iconic water tower.
  • C. Masaryk Bridge
    Masaryk Bridge is a notable historic bridge in Kralupy nad Vltavou, Czech Republic, named after the first Czechoslovak president Tomáš Garrigue Masaryk.
  • D. Palacký Bridge
    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.
  • E. Mariánský most
    Mariánský most is a distinctive modern cable-stayed road bridge spanning the Elbe River in Ústí nad Labem in the Czech Republic.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9311cc748190880c784f173b7f2b completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d99a7948190a3ff01e7b74aaa1e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.