Triple
T22346783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nádor Street |
E552411
|
entity |
| Predicate | hasNameInHungarian |
P27628
|
FINISHED |
| Object | Nádor utca |
—
|
NE NERFINISHED |
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: Nádor utca | Statement: [Nádor Street, hasNameInHungarian, Nádor utca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nádor utca Context triple: [Nádor Street, hasNameInHungarian, Nádor utca]
-
A.
Nádor utca
chosen
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.
Dráva utca
Dráva utca is a street in Budapest, Hungary, located at the edge of the Újlipótváros neighborhood in the 13th district.
-
C.
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.
-
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.
Teréz körút
Teréz körút is a major boulevard in central Budapest, Hungary, forming part of the city’s Grand Boulevard and lined with shops, cafés, and historic buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157981c0881909ac74d68b99075c2 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.