Triple
T17013961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vas County |
E412769
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Körmend |
E559598
|
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: Körmend | Statement: [Vas County, containsSettlement, Körmend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Körmend Context triple: [Vas County, containsSettlement, Körmend]
-
A.
Körmend
chosen
Körmend is a small town in western Hungary, known for its historic castle and location near the Austrian border.
-
B.
Körmöcbánya
Körmöcbánya is a historic mining town in present-day Slovakia, renowned for its medieval gold and coin-minting traditions.
-
C.
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.
-
D.
Nagykőrös
Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
-
E.
Kiskőrös
Kiskőrös is a small town in southern Hungary known as the birthplace of the national poet Sándor Petőfi and for its wine-producing region.
- 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_6a011b4990948190861ff81f8fc3e8f2 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.