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.