Triple
T15234256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazinczy Street |
E364082
|
entity |
| Predicate | localName |
P657
|
FINISHED |
| Object | Kazinczy utca |
E364082
|
NE FINISHED |
How this triple was built (2 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: Kazinczy utca | Statement: [Kazinczy Street, localName, Kazinczy utca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazinczy utca Context triple: [Kazinczy Street, localName, Kazinczy utca]
-
A.
Nádor utca
Nádor utca is a central street in Budapest, Hungary, known for hosting institutions such as the former campus of Central European University and various historic buildings.
-
B.
Baross utca
Baross utca is a notable street in Budapest, Hungary, running through the central Józsefváros district and known for its mix of residential buildings, shops, and historic urban character.
-
C.
Kazinczy Street
chosen
Kazinczy Street is a popular street in Budapest known for its vibrant nightlife, ruin pubs, and cultural venues.
-
D.
Bajcsy-Zsilinszky út
Bajcsy-Zsilinszky út is a major avenue in central Budapest, Hungary, known for its historic buildings and role as an important traffic and commercial corridor.
-
E.
Jászai Mari tér
Jászai Mari tér is a prominent square and public transport hub in Budapest, located at the northern end of the Grand Boulevard along the Danube.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28b707481908611ae8e23de3294 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 3:12 a.m.