Triple

T17136601
Position Surface form Disambiguated ID Type / Status
Subject Horse Market (Prague) E415853 entity
Predicate formerNameOf P65 FINISHED
Object Wenceslas Square NE ONNED1

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: Wenceslas Square | Statement: [Horse Market (Prague), formerNameOf, Wenceslas Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenceslas Square
Context triple: [Horse Market (Prague), formerNameOf, Wenceslas Square]
  • A. Wenceslas Square chosen
    Wenceslas Square is a major historic boulevard and commercial center in Prague, renowned as a focal point for political demonstrations and public gatherings in Czech history.
  • B. Charles Square
    Charles Square is one of the largest historic squares in Prague, serving as a major public space and transport hub in the city’s New Town.
  • C. Madách Square
    Madách Square is a notable public square in central Budapest known for its distinctive 1930s architectural ensemble and role as a gateway to the city’s historic Jewish Quarter.
  • D. Pernštejn Square
    Pernštejn Square is a historic central square in Pardubice, Czech Republic, known for its traditional architecture and role as a local cultural and social hub.
  • E. Republic Square
    Republic Square is a central public square in the Portuguese town of Tavira, known for its historic buildings, cafes, and role as a main social and cultural gathering place.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2cf1c588190986167adcf4851b5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0195428c6c8190a11e3f7c8f6796fe in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:36 a.m.