Triple

T16089956
Position Surface form Disambiguated ID Type / Status
Subject Prague trams E390334 entity
Predicate hasStopNear P35768 FINISHED
Object Wenceslas Square E92614 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: Wenceslas Square | Statement: [Prague trams, hasStopNear, Wenceslas Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenceslas Square
Context triple: [Prague trams, hasStopNear, 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e184522b2c8190986daae6cb2d9db4 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8174648190a44a2605a77c859d completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 4:59 a.m.