Triple
T14147996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District XI of Budapest |
E350602
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Péterhegy |
E350610
|
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: Péterhegy | Statement: [District XI of Budapest, hasNeighbourhood, Péterhegy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Péterhegy Context triple: [District XI of Budapest, hasNeighbourhood, Péterhegy]
-
A.
Kunhegyes
Kunhegyes is a small town in Jász-Nagykun-Szolnok County in central Hungary, known for its rural character and agricultural surroundings.
-
B.
Gellért-hegy
chosen
Gellért-hegy is a prominent hill overlooking the Danube in Budapest, known for its panoramic city views, historic monuments, and the iconic Citadella fortress.
-
C.
Gödöllő Hills
Gödöllő Hills is a hilly geographical region in central Hungary known for its rolling landscapes, forests, and proximity to Budapest.
-
D.
Nagyerdő
Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
-
E.
Lővérek Hills
Lővérek Hills is a forested hilly area near Sopron in western Hungary, known for its hiking trails, lookout towers, and recreational opportunities.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61237ef481909374c1f68a2370b7 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf205c788190920b5055f9fe63a8 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:55 a.m.