Triple
T14865933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District IV of Budapest |
E349614
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Káposztásmegyer II |
E1123532
|
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: Káposztásmegyer II | Statement: [District IV of Budapest, hasNeighbourhood, Káposztásmegyer II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Káposztásmegyer II Context triple: [District IV of Budapest, hasNeighbourhood, Káposztásmegyer II]
-
A.
Káposztásmegyer
chosen
Káposztásmegyer is a predominantly residential neighborhood in northern Budapest known for its large housing estates and family-oriented urban environment.
-
B.
Parádfürdő
Parádfürdő is a spa village in northern Hungary known for its mineral springs and scenic location within the Mátra mountain region.
-
C.
Egri Bikavér
Egri Bikavér is a historic Hungarian red wine blend, often called “Bull’s Blood,” renowned for its robust, spicy character and association with the Eger wine region.
-
D.
Mezőtúr
Mezőtúr is a town in eastern Hungary known for its agricultural traditions and location on the Great Hungarian Plain.
-
E.
Nagykörút
Nagykörút is a major semicircular thoroughfare in central Budapest, lined with historic buildings, shops, and public transport routes, and serving as one of the city’s key urban arteries.
- 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_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_69fe6b4f224c8190bb2e06203c9b3a94 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.