Triple

T14866211
Position Surface form Disambiguated ID Type / Status
Subject Zugló E349621 entity
Predicate traversedBy P225 FINISHED
Object Thököly út
Thököly út is a major arterial road in Budapest, Hungary, connecting the city center with the northeastern districts and passing through the Zugló neighborhood.
 E1123547 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: Thököly út | Statement: [Zugló, traversedBy, Thököly út]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thököly út
Context triple: [Zugló, traversedBy, Thököly út]
  • A. Tótkomlós
    Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
  • B. Balatoni út
    Balatoni út is a major road in Budapest, Hungary, that runs through the city’s southern districts and provides access toward Lake Balaton and nearby attractions such as Memento Park (Szoborpark).
  • C. Dunántúl
    Dunántúl is the Hungarian name for Transdanubia, the large western region of Hungary lying west of the Danube River.
  • D. Etelköz
    Etelköz was the historical region in Eastern Europe where the migrating Magyars settled before conquering the Carpathian Basin.
  • E. Yolöten
    Yolöten is a town in Turkmenistan’s Mary Region, known as a local administrative and agricultural center in the southeastern part of the country.
  • 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: Thököly út
Triple: [Zugló, traversedBy, Thököly út]
Generated description
Thököly út is a major arterial road in Budapest, Hungary, connecting the city center with the northeastern districts and passing through the Zugló neighborhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thököly út
Target entity description: Thököly út is a major arterial road in Budapest, Hungary, connecting the city center with the northeastern districts and passing through the Zugló neighborhood.
  • A. Tótkomlós
    Tótkomlós is a small town in southeastern Hungary known for its agricultural surroundings and traditional rural character.
  • B. Balatoni út
    Balatoni út is a major road in Budapest, Hungary, that runs through the city’s southern districts and provides access toward Lake Balaton and nearby attractions such as Memento Park (Szoborpark).
  • C. Dunántúl
    Dunántúl is the Hungarian name for Transdanubia, the large western region of Hungary lying west of the Danube River.
  • D. Etelköz
    Etelköz was the historical region in Eastern Europe where the migrating Magyars settled before conquering the Carpathian Basin.
  • E. Yolöten
    Yolöten is a town in Turkmenistan’s Mary Region, known as a local administrative and agricultural center in the southeastern part of the country.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650e8aec8190acd4a9cb9cad2039 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65ac6a5c81908621dc17edc6b04f completed May 8, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_69fe6697fe3881908aae42abe56d86f8 completed May 8, 2026, 10:41 p.m.
Created at: April 10, 2026, 1:55 a.m.