Triple

T14148541
Position Surface form Disambiguated ID Type / Status
Subject Central Market Hall E350613 entity
Predicate alsoKnownAs P39 FINISHED
Object Nagycsarnok
Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
E1127774 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: Nagycsarnok | Statement: [Central Market Hall, alsoKnownAs, Nagycsarnok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagycsarnok
Context triple: [Central Market Hall, alsoKnownAs, Nagycsarnok]
  • A. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • B. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • C. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • D. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • E. Mátészalka
    Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
  • 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: Nagycsarnok
Triple: [Central Market Hall, alsoKnownAs, Nagycsarnok]
Generated description
Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nagycsarnok
Target entity description: Nagycsarnok is Budapest’s largest and most famous indoor market hall, renowned for its grand architecture and bustling stalls selling fresh produce, local foods, and Hungarian specialties.
  • A. Csákvár
    Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
  • B. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • C. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • D. Nagykálló
    Nagykálló is a town in northeastern Hungary known for its historical architecture and traditional cultural heritage.
  • E. Mátészalka
    Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61237ef481909374c1f68a2370b7 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e72b9f08190a33e8e20541edd21 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7f9ea5848190af5edd6d2d22c117 completed May 9, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69fe7ff91dec8190aa9f0d42a8cd00e0 completed May 9, 2026, 12:29 a.m.
Created at: April 10, 2026, 12:55 a.m.