Triple
T17013966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vas County |
E412769
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Vasvár
Vasvár is a small historic town in western Hungary known for its medieval heritage and role as a former county seat.
|
E1286987
|
NE FINISHED |
How this triple was built (4 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: Vasvár | Statement: [Vas County, containsSettlement, Vasvár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vasvár Context triple: [Vas County, containsSettlement, Vasvár]
-
A.
Tiszavasvári
Tiszavasvári is a town in northeastern Hungary known for its agricultural surroundings and location within the Northern Great Plain region.
-
B.
Sárvár
Sárvár is a historic town in western Hungary known for its medieval Nádasdy Castle and thermal spa culture.
-
C.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
D.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
E.
Derecske
Derecske is a small town in eastern Hungary located within Hajdú-Bihar County, known for its agricultural surroundings and local rural character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vasvár Triple: [Vas County, containsSettlement, Vasvár]
Generated description
Vasvár is a small historic town in western Hungary known for its medieval heritage and role as a former county seat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vasvár Target entity description: Vasvár is a small historic town in western Hungary known for its medieval heritage and role as a former county seat.
-
A.
Tiszavasvári
Tiszavasvári is a town in northeastern Hungary known for its agricultural surroundings and location within the Northern Great Plain region.
-
B.
Sárvár
Sárvár is a historic town in western Hungary known for its medieval Nádasdy Castle and thermal spa culture.
-
C.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
D.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
-
E.
Derecske
Derecske is a small town in eastern Hungary located within Hajdú-Bihar County, known for its agricultural surroundings and local rural character.
- F. None of above. chosen
Provenance (5 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_6a02efa1c9e88190923b66b0f2d520ef |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f1232f348190ab28e8d5ed4d3ad3 |
completed | May 12, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f18beeb88190ac8cb9540b6b7b88 |
completed | May 12, 2026, 9:23 a.m. |
Created at: April 10, 2026, 5:33 a.m.