Triple
T2027242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Nevada (Spain) |
E44435
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Veleta
Veleta is one of the highest and most prominent peaks in Spain’s Sierra Nevada mountain range, popular for mountaineering and skiing.
|
E226628
|
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: Veleta | Statement: [Sierra Nevada (Spain), contains, Veleta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veleta Context triple: [Sierra Nevada (Spain), contains, Veleta]
-
A.
Pico de Aneto
Pico de Aneto is the highest mountain in the Pyrenees, renowned for its extensive glaciers and challenging alpine routes.
-
B.
Serra de Llevant
Serra de Llevant is a low, rugged mountain range in the eastern part of Mallorca, known for its rolling hills, coastal cliffs, and traditional rural landscapes.
-
C.
Monchique
Monchique is a mountainous spa town in southern Portugal known for its lush forests, thermal springs, and panoramic views over the Algarve region.
-
D.
Pico de las Nieves
Pico de las Nieves is the highest peak on the island of Gran Canaria in Spain’s Canary Islands, known for its panoramic views and distinctive volcanic landscape.
-
E.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
- 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: Veleta Triple: [Sierra Nevada (Spain), contains, Veleta]
Generated description
Veleta is one of the highest and most prominent peaks in Spain’s Sierra Nevada mountain range, popular for mountaineering and skiing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veleta Target entity description: Veleta is one of the highest and most prominent peaks in Spain’s Sierra Nevada mountain range, popular for mountaineering and skiing.
-
A.
Pico de Aneto
Pico de Aneto is the highest mountain in the Pyrenees, renowned for its extensive glaciers and challenging alpine routes.
-
B.
Serra de Llevant
Serra de Llevant is a low, rugged mountain range in the eastern part of Mallorca, known for its rolling hills, coastal cliffs, and traditional rural landscapes.
-
C.
Monchique
Monchique is a mountainous spa town in southern Portugal known for its lush forests, thermal springs, and panoramic views over the Algarve region.
-
D.
Pico de las Nieves
Pico de las Nieves is the highest peak on the island of Gran Canaria in Spain’s Canary Islands, known for its panoramic views and distinctive volcanic landscape.
-
E.
Monte Gordo
Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb911e5dc819097e40af0da4d01e7 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0afc9e3c8190a045ef1c987c4141 |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0d524a048190ac290b0a9939d2bf |
completed | March 8, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0dbf06008190b595de89f17c0104 |
completed | March 9, 2026, 12:01 a.m. |
Created at: March 4, 2026, 7:38 p.m.