Triple
T10093383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bükk Mountains |
E215800
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Istállós-kő
Istállós-kő is a prominent peak in northern Hungary known for being the highest summit of the Bükk Mountains and a popular hiking destination.
|
E841874
|
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: Istállós-kő | Statement: [Bükk Mountains, highestPoint, Istállós-kő]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Istállós-kő Context triple: [Bükk Mountains, highestPoint, Istállós-kő]
-
A.
Nagyerdő
Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
-
B.
Kunhegyes
Kunhegyes is a small town in Jász-Nagykun-Szolnok County in central Hungary, known for its rural character and agricultural surroundings.
-
C.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
D.
Kékes
Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
-
E.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
- 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: Istállós-kő Triple: [Bükk Mountains, highestPoint, Istállós-kő]
Generated description
Istállós-kő is a prominent peak in northern Hungary known for being the highest summit of the Bükk Mountains and a popular hiking destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Istállós-kő Target entity description: Istállós-kő is a prominent peak in northern Hungary known for being the highest summit of the Bükk Mountains and a popular hiking destination.
-
A.
Nagyerdő
Nagyerdő is a large, historic forested park and recreational area in Debrecen, Hungary, known for its natural beauty and cultural attractions.
-
B.
Kunhegyes
Kunhegyes is a small town in Jász-Nagykun-Szolnok County in central Hungary, known for its rural character and agricultural surroundings.
-
C.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
D.
Kékes
Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
-
E.
Mátészalka
Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05da3688190b7a1ac8a58e5488f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbe40d088190838819eac97c61e4 |
completed | April 5, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_69d2cd8d611c81909085b3290eb54d16 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce686da48190b32a2053b94f1d48 |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:01 p.m.