Triple

T17009528
Position Surface form Disambiguated ID Type / Status
Subject Josef Zítek E412661 entity
Predicate familyName P18 FINISHED
Object Zítek
Zítek is a Czech surname most notably associated with architect Josef Zítek, designer of Prague’s National Theatre.
 E1244593 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: Zítek | Statement: [Josef Zítek, familyName, Zítek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zítek
Context triple: [Josef Zítek, familyName, Zítek]
  • A. Zifta
    Zifta is a city in Egypt’s Nile Delta region known for its agricultural surroundings and location within the Gharbia Governorate.
  • B. Baskinta
    Baskinta is a picturesque Lebanese mountain village known for its scenic landscapes, cool climate, and rich literary and cultural heritage.
  • C. Morungen
    Morungen is the German name for the town now known as Morąg, located in northern Poland.
  • D. Vrútky
    Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
  • E. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • 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: Zítek
Triple: [Josef Zítek, familyName, Zítek]
Generated description
Zítek is a Czech surname most notably associated with architect Josef Zítek, designer of Prague’s National Theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zítek
Target entity description: Zítek is a Czech surname most notably associated with architect Josef Zítek, designer of Prague’s National Theatre.
  • A. Zifta
    Zifta is a city in Egypt’s Nile Delta region known for its agricultural surroundings and location within the Gharbia Governorate.
  • B. Baskinta
    Baskinta is a picturesque Lebanese mountain village known for its scenic landscapes, cool climate, and rich literary and cultural heritage.
  • C. Morungen
    Morungen is the German name for the town now known as Morąg, located in northern Poland.
  • D. Vrútky
    Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
  • E. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc241ec88190a3e868ab88b26f09 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d7d03c8190943777f4eac956fd completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a01159a08b081908fc82adc7cca532a completed May 10, 2026, 11:32 p.m.
Created at: April 10, 2026, 5:33 a.m.