Triple
T7736160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cluj-Napoca |
E175386
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Kolozsvar
Kolozsvár is the Hungarian name for Cluj-Napoca, a major cultural, academic, and economic center in northwestern Romania and the historical capital of Transylvania.
|
E686218
|
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: Kolozsvar | Statement: [Cluj-Napoca, alternativeName, Kolozsvar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolozsvar Context triple: [Cluj-Napoca, alternativeName, Kolozsvar]
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Bácska
Bácska is a historical region in the Pannonian Plain, today divided between northern Serbia and southern Hungary, known for its multicultural population and agricultural importance.
-
C.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
D.
Oroszlány
Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
-
E.
Mátraháza
Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
- 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: Kolozsvar Triple: [Cluj-Napoca, alternativeName, Kolozsvar]
Generated description
Kolozsvár is the Hungarian name for Cluj-Napoca, a major cultural, academic, and economic center in northwestern Romania and the historical capital of Transylvania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kolozsvar Target entity description: Kolozsvár is the Hungarian name for Cluj-Napoca, a major cultural, academic, and economic center in northwestern Romania and the historical capital of Transylvania.
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Bácska
Bácska is a historical region in the Pannonian Plain, today divided between northern Serbia and southern Hungary, known for its multicultural population and agricultural importance.
-
C.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
D.
Oroszlány
Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
-
E.
Mátraháza
Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035923108190842025631e2314cc |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be355e04819088598b5c7d61b848 |
completed | March 29, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69c8c1f8d3f081909dbcbf3a86a7bf2d |
completed | March 29, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c2551b708190a46d5dde93974c12 |
completed | March 29, 2026, 6:10 a.m. |
Created at: March 27, 2026, 4:06 p.m.