Triple
T15234241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazinczy Street |
E364082
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Erzsébetváros |
E1101809
|
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: Erzsébetváros | Statement: [Kazinczy Street, locatedIn, Erzsébetváros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erzsébetváros Context triple: [Kazinczy Street, locatedIn, Erzsébetváros]
-
A.
Erzsébetváros
chosen
Erzsébetváros is a central Budapest district known for its historic Jewish Quarter, vibrant nightlife, and dense concentration of bars, restaurants, and cultural venues.
-
B.
Terézváros
Terézváros is a central district of Budapest, Hungary, known for its historic architecture, cultural venues, and vibrant urban life.
-
C.
Józsefváros
Józsefváros is a central district of Budapest, Hungary, known for its historic urban neighborhoods and ongoing revitalization.
-
D.
Belváros-Lipótváros district
The Belváros-Lipótváros district is Budapest’s historic central area along the Danube, known for its grand architecture, government buildings, and major cultural and tourist landmarks.
-
E.
Lipótváros
Lipótváros is a historic central neighborhood of Budapest known for its grand 19th-century architecture, government buildings, and landmarks such as the Hungarian Parliament.
- 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_6a0025e9b00c81908cb5f305c894363f |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 3:12 a.m.