Triple
T3335889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buda |
E70138
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Rózsadomb
Rózsadomb is an affluent, villa-filled hillside neighborhood in Budapest known for its panoramic views over the city and the Danube.
|
E349574
|
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: Rózsadomb | Statement: [Buda, hasPart, Rózsadomb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rózsadomb Context triple: [Buda, hasPart, Rózsadomb]
-
A.
Brocken
Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
-
B.
Wilseder Berg
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
-
C.
Vihren
Vihren is a prominent peak in southwestern Bulgaria’s Pirin range, renowned for its striking marble slopes and popularity among hikers and climbers.
-
D.
Maleny
Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
-
E.
Semmerzake
Semmerzake is a village in East Flanders, Belgium, known for its rural character and former military airfield.
- 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: Rózsadomb Triple: [Buda, hasPart, Rózsadomb]
Generated description
Rózsadomb is an affluent, villa-filled hillside neighborhood in Budapest known for its panoramic views over the city and the Danube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rózsadomb Target entity description: Rózsadomb is an affluent, villa-filled hillside neighborhood in Budapest known for its panoramic views over the city and the Danube.
-
A.
Brocken
Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
-
B.
Wilseder Berg
Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
-
C.
Vihren
Vihren is a prominent peak in southwestern Bulgaria’s Pirin range, renowned for its striking marble slopes and popularity among hikers and climbers.
-
D.
Maleny
Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
-
E.
Semmerzake
Semmerzake is a village in East Flanders, Belgium, known for its rural character and former military airfield.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb197bd0481909a5cf7eab386e176 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a885d148190a101ce50d5d87f53 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c393f20819098d5761372d6a980 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3206be2748190874560701dc1ed18 |
completed | March 12, 2026, 8:22 p.m. |
Created at: March 8, 2026, 3:12 p.m.