Triple
T3216075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matra Mountains |
E67397
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Kékes
Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
|
E338310
|
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: Kékes | Statement: [Matra Mountains, highestPoint, Kékes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kékes Context triple: [Matra Mountains, highestPoint, Kékes]
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Keszthely
Keszthely is a historic town in western Hungary known for its lakeside resort atmosphere, cultural heritage, and proximity to Lake Balaton.
-
C.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
D.
Somlyó
Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
-
E.
Karesz
Karesz is a Hungarian diminutive form of the male given name Károly.
- 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: Kékes Triple: [Matra Mountains, highestPoint, Kékes]
Generated description
Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kékes Target entity description: Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
-
A.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
B.
Keszthely
Keszthely is a historic town in western Hungary known for its lakeside resort atmosphere, cultural heritage, and proximity to Lake Balaton.
-
C.
Bicske
Bicske is a small town in central Hungary known for its historical significance and location along major transportation routes west of Budapest.
-
D.
Somlyó
Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
-
E.
Karesz
Karesz is a Hungarian diminutive form of the male given name Károly.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab096b588190b22e41a76263ae92 |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26241803c8190aa3254d5887c80f4 |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b2664ddd488190a3edf40fc2dcee18 |
completed | March 12, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b266ca4a90819083ecb16095a2984b |
completed | March 12, 2026, 7:10 a.m. |
Created at: March 8, 2026, 3:07 p.m.