Triple
T11879669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montes Malditos |
E282622
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Glaciar de Aneto |
E59548
|
NE FINISHED |
How this triple was built (2 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: Glaciar de Aneto | Statement: [Montes Malditos, contains, Glaciar de Aneto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glaciar de Aneto Context triple: [Montes Malditos, contains, Glaciar de Aneto]
-
A.
Aneto glacier
chosen
The Aneto glacier is the largest glacier in the Pyrenees, lying on the northern slopes of Aneto, the range’s highest peak.
-
B.
Glacier de la Gurraz
Glacier de la Gurraz is a mountain glacier located in the Vanoise Massif of the French Alps, known for its high-altitude ice fields and alpine scenery.
-
C.
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.
-
D.
Glacier de la Griaz
Glacier de la Griaz is a mountain glacier in the Mont Blanc massif of the French Alps, forming part of the region’s extensive high-altitude glacial landscape.
-
E.
Pico de Aneto
Pico de Aneto is the highest mountain in the Pyrenees, renowned for its extensive glaciers and challenging alpine routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1cad5c8190a45dfb0f0cc2a512 |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.