Triple

T8947579
Position Surface form Disambiguated ID Type / Status
Subject New Town, Prague E213259 entity
Predicate hasPart P35 FINISHED
Object Rašínovo nábřeží
Rašínovo nábřeží is a prominent riverside embankment along the Vltava River in Prague, known for its historic architecture, scenic views, and cultural events.
 E770418 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: Rašínovo nábřeží | Statement: [New Town, Prague, hasPart, Rašínovo nábřeží]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rašínovo nábřeží
Context triple: [New Town, Prague, hasPart, Rašínovo nábřeží]
  • A. Livoberezhna
    Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
  • B. Nýřany
    Nýřany is a town in the western Czech Republic, located near Plzeň and known historically for its coal mining and industrial development.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • E. Pulhof
    Pulhof is a residential neighborhood in the Antwerp district of Berchem, Belgium, known for its quiet streets and urban character.
  • 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: Rašínovo nábřeží
Triple: [New Town, Prague, hasPart, Rašínovo nábřeží]
Generated description
Rašínovo nábřeží is a prominent riverside embankment along the Vltava River in Prague, known for its historic architecture, scenic views, and cultural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rašínovo nábřeží
Target entity description: Rašínovo nábřeží is a prominent riverside embankment along the Vltava River in Prague, known for its historic architecture, scenic views, and cultural events.
  • A. Livoberezhna
    Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
  • B. Nýřany
    Nýřany is a town in the western Czech Republic, located near Plzeň and known historically for its coal mining and industrial development.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Delnice
    Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
  • E. Pulhof
    Pulhof is a residential neighborhood in the Antwerp district of Berchem, Belgium, known for its quiet streets and urban character.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66deb8ec819087a9c5eddd24c08a completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93c678c81909d2ab68308d7c2f0 completed April 3, 2026, 2:05 p.m.
NEDg Description generation batch_69cfccf492048190acc6670a0f32607c completed April 3, 2026, 2:21 p.m.
NED2 Entity disambiguation (via description) batch_69cfcda4cf188190b88a6379b5456754 completed April 3, 2026, 2:24 p.m.
Created at: March 30, 2026, 6:59 p.m.