Triple
T17014014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Őrség |
E412770
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | Őriszentpéter |
E1247032
|
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: Őriszentpéter | Statement: [Őrség, hasCenter, Őriszentpéter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Őriszentpéter Context triple: [Őrség, hasCenter, Őriszentpéter]
-
A.
Őriszentpéter
chosen
Őriszentpéter is a small historic town in western Hungary, known as a gateway to the Őrség National Park and for its traditional rural architecture and natural surroundings.
-
B.
Pázmány
Pázmány is a Hungarian surname most notably associated with the influential 17th-century Jesuit cardinal and statesman Péter Pázmány.
-
C.
Sebestyén
Sebestyén is a Hungarian surname most notably borne by architect Artúr Sebestyén.
-
D.
Szenttamás
Szenttamás is the Hungarian name for the town of Srbobran in northern Serbia, located in the autonomous province of Vojvodina.
-
E.
Pál
Pál is a Hungarian given name, equivalent to the English name Paul.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47e64f081908f43870c7564d0ae |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233311648190b5f8a8e7c209d124 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.