Triple

T4121157
Position Surface form Disambiguated ID Type / Status
Subject Wenceslas Square E92614 entity
Predicate hasStreet P959 FINISHED
Object Jindřišská
Jindřišská is a central Prague street known for connecting Wenceslas Square with the historic Jindřišská Tower and serving as a major tram and traffic route in the city center.
 E423561 NE FINISHED

How this triple was built (4 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: Jindřišská | Statement: [Wenceslas Square, hasStreet, Jindřišská]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jindřišská
Context triple: [Wenceslas Square, hasStreet, Jindřišská]
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Dejvická
    Dejvická is a metro station in Prague that serves as a key transport hub in the Dejvice district.
  • C. Zavacká
    Zavacká is the original Slovak family name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • D. Zličín
    Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
  • E. Ruzyně
    Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jindřišská
Triple: [Wenceslas Square, hasStreet, Jindřišská]
Generated description
Jindřišská is a central Prague street known for connecting Wenceslas Square with the historic Jindřišská Tower and serving as a major tram and traffic route in the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jindřišská
Target entity description: Jindřišská is a central Prague street known for connecting Wenceslas Square with the historic Jindřišská Tower and serving as a major tram and traffic route in the city center.
  • A. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Dejvická
    Dejvická is a metro station in Prague that serves as a key transport hub in the Dejvice district.
  • C. Zavacká
    Zavacká is the original Slovak family name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • D. Zličín
    Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
  • E. Ruzyně
    Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
  • F. None of above. chosen

Provenance (5 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0203b8c88190b08dd64800a37168 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a83f4a548190a1ba9720b1f35ec9 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a8f374fc8190830286dfadc9bdbb completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a99a4a9c8190a7e9bbc119d8d775 completed March 14, 2026, 6:31 p.m.
Created at: March 9, 2026, 3:41 p.m.