Triple
T14865849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Újlipótváros |
E349612
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Dráva utca
Dráva utca is a street in Budapest, Hungary, located at the edge of the Újlipótváros neighborhood in the 13th district.
|
E1142718
|
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: Dráva utca | Statement: [Újlipótváros, borderedBy, Dráva utca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dráva utca Context triple: [Újlipótváros, borderedBy, Dráva 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.
Váci Street
Váci Street is one of Budapest’s main pedestrian shopping streets, known for its historic architecture, boutiques, cafés, and tourist-oriented atmosphere in the city center.
-
C.
Krisztina Boulevard
Krisztina Boulevard is a major street in Budapest’s Krisztinaváros district, known for its historic urban character and central location on the Buda side of the city.
-
D.
Bajza utca
Bajza utca is a Budapest Metro station on the historic M1 (Millennium Underground) line in Hungary.
-
E.
Pozsonyi út
Pozsonyi út is a prominent, café-lined boulevard in Budapest’s Újlipótváros neighborhood, known for its literary atmosphere and proximity to the Danube.
- 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: Dráva utca Triple: [Újlipótváros, borderedBy, Dráva utca]
Generated description
Dráva utca is a street in Budapest, Hungary, located at the edge of the Újlipótváros neighborhood in the 13th district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dráva utca Target entity description: Dráva utca is a street in Budapest, Hungary, located at the edge of the Újlipótváros neighborhood in the 13th district.
-
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.
Váci Street
Váci Street is one of Budapest’s main pedestrian shopping streets, known for its historic architecture, boutiques, cafés, and tourist-oriented atmosphere in the city center.
-
C.
Krisztina Boulevard
Krisztina Boulevard is a major street in Budapest’s Krisztinaváros district, known for its historic urban character and central location on the Buda side of the city.
-
D.
Bajza utca
Bajza utca is a Budapest Metro station on the historic M1 (Millennium Underground) line in Hungary.
-
E.
Pozsonyi út
Pozsonyi út is a prominent, café-lined boulevard in Budapest’s Újlipótváros neighborhood, known for its literary atmosphere and proximity to the Danube.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31a49d88190a200c427fe02616f |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed46caba481908864d62936659a6d |
completed | May 9, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed4f5be0c8190a1fb6e1a176c5208 |
completed | May 9, 2026, 6:32 a.m. |
Created at: April 10, 2026, 1:55 a.m.