Triple
T629389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeira |
E15891
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Pico Ruivo
Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
|
E86839
|
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: Pico Ruivo | Statement: [Madeira, hasHighestPoint, Pico Ruivo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Ruivo Context triple: [Madeira, hasHighestPoint, Pico Ruivo]
-
A.
Mount Pico
Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
-
B.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
-
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.
Cerro de la Silla
Cerro de la Silla is a distinctive saddle-shaped mountain and iconic natural symbol overlooking the city of Monterrey in northeastern Mexico.
-
E.
Monte San Valentín
Monte San Valentín is a prominent glaciated mountain in Chilean Patagonia and the region’s highest summit, known for its remote location and challenging climbing conditions.
- 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: Pico Ruivo Triple: [Madeira, hasHighestPoint, Pico Ruivo]
Generated description
Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pico Ruivo Target entity description: Pico Ruivo is the tallest mountain on the Portuguese island of Madeira, renowned for its panoramic hiking trails and dramatic volcanic landscapes.
-
A.
Mount Pico
Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
-
B.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
-
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.
Cerro de la Silla
Cerro de la Silla is a distinctive saddle-shaped mountain and iconic natural symbol overlooking the city of Monterrey in northeastern Mexico.
-
E.
Monte San Valentín
Monte San Valentín is a prominent glaciated mountain in Chilean Patagonia and the region’s highest summit, known for its remote location and challenging climbing conditions.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e5b5a308190a62165f9275e2f5f |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63742d8a8819087c7c2fa2430da75 |
completed | March 3, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69a637ef099c8190a23f59a39e4e110a |
completed | March 3, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a63c075f988190aa9f7073b44fb97b |
completed | March 3, 2026, 1:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.