Triple

T20543761
Position Surface form Disambiguated ID Type / Status
Subject Vera Čáslavská E504412 entity
Predicate familyName P18 FINISHED
Object Čáslavská
Čáslavská is a Czech surname most famously borne by Věra Čáslavská, the celebrated Olympic gymnast.
E1436853 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: Čáslavská | Statement: [Vera Čáslavská, familyName, Čáslavská]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Čáslavská
Context triple: [Vera Čáslavská, familyName, Čáslavská]
  • A. Hradčanská
    Hradčanská is a Prague Metro station on Line A located near Prague Castle in the Hradčany district.
  • B. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • C. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • D. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • E. Slaná
    Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
  • 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: Čáslavská
Triple: [Vera Čáslavská, familyName, Čáslavská]
Generated description
Čáslavská is a Czech surname most famously borne by Věra Čáslavská, the celebrated Olympic gymnast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Čáslavská
Target entity description: Čáslavská is a Czech surname most famously borne by Věra Čáslavská, the celebrated Olympic gymnast.
  • A. Hradčanská
    Hradčanská is a Prague Metro station on Line A located near Prague Castle in the Hradčany district.
  • B. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • C. Třemošná
    Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň Region.
  • D. Čáslav
    Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
  • E. Slaná
    Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a2957c308190aab81127f82f8aa6 completed April 20, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a56b9b3081908786edd7c6867c98 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a6439bc08190a2df7f1f7b24fadb completed May 16, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a08a70118dc8190bdf07bcc3342340e completed May 16, 2026, 5:18 p.m.
Created at: April 16, 2026, 11:38 a.m.