Triple

T12244890
Position Surface form Disambiguated ID Type / Status
Subject Old New Synagogue E291825 entity
Predicate locatedOn P40 FINISHED
Object Červená ulice
Červená ulice is a historic street in Prague’s Jewish Quarter, notable for landmarks such as the Old New Synagogue.
 E972478 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: Červená ulice | Statement: [Old New Synagogue, locatedOn, Červená ulice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Červená ulice
Context triple: [Old New Synagogue, locatedOn, Červená ulice]
  • A. The Street
    The Street is a 1946 novel by Ann Petry that powerfully portrays the struggles of a Black woman facing racism, sexism, and poverty in Harlem.
  • B. The Street
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • C. Remedios Street
    Remedios Street is a notable road in the Malate district of Manila, Philippines, known for its nightlife, restaurants, and cultural landmarks.
  • D. Červená Skala
    Červená Skala is a village and railway junction in central Slovakia known as an important stop on regional rail routes through the Slovak mountains.
  • E. Linha Vermelha
    Linha Vermelha is a major line of the Lisbon Metro system that connects key areas of the city, including the airport, to the broader urban rail network.
  • 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: Červená ulice
Triple: [Old New Synagogue, locatedOn, Červená ulice]
Generated description
Červená ulice is a historic street in Prague’s Jewish Quarter, notable for landmarks such as the Old New Synagogue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Červená ulice
Target entity description: Červená ulice is a historic street in Prague’s Jewish Quarter, notable for landmarks such as the Old New Synagogue.
  • A. The Street
    The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
  • B. The Street
    The Street is a 1946 novel by Ann Petry that powerfully portrays the struggles of a Black woman facing racism, sexism, and poverty in Harlem.
  • C. Remedios Street
    Remedios Street is a notable road in the Malate district of Manila, Philippines, known for its nightlife, restaurants, and cultural landmarks.
  • D. Červená Skala
    Červená Skala is a village and railway junction in central Slovakia known as an important stop on regional rail routes through the Slovak mountains.
  • E. Linha Vermelha
    Linha Vermelha is a major line of the Lisbon Metro system that connects key areas of the city, including the airport, to the broader urban rail network.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab7b9308190b621b71d75aa10cc completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60c6211448190af411f1b6f42c4b6 completed May 2, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69f60d1429f08190b7f3f053044f5a9e completed May 2, 2026, 2:41 p.m.
Created at: April 8, 2026, 9:51 p.m.