Triple
T2887842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aneto glacier |
E59548
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Maladeta massif |
E282616
|
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: Maladeta massif | Statement: [Aneto glacier, partOf, Maladeta massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maladeta massif Context triple: [Aneto glacier, partOf, Maladeta massif]
-
A.
Maladeta massif
chosen
The Maladeta massif is a prominent mountain group in the central Pyrenees of Spain, known for containing the range’s highest peaks and extensive glaciation.
-
B.
Matra Mountains
The Matra Mountains are a volcanic mountain range in northern Hungary, known for containing Kékes, the country’s highest peak.
-
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.
Monte Soro
Monte Soro is a prominent mountain peak in northeastern Sicily, Italy, known as the highest summit of the Nebrodi mountain range.
-
E.
Melendiz Mountains
The Melendiz Mountains are a volcanic mountain range in central Turkey that helped shape the unique landscapes of the Cappadocia region.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe047aa7c8190a0ed570c13f3a1a2 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0317601688190a8a99644579b137c |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.