Triple
T2776566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val d’Aran |
E61583
|
entity |
| Predicate | hasLocalGovernmentSeat |
P21613
|
FINISHED |
| Object | Vielha |
E296942
|
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: Vielha | Statement: [Val d’Aran, hasLocalGovernmentSeat, Vielha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vielha Context triple: [Val d’Aran, hasLocalGovernmentSeat, Vielha]
-
A.
Vielha e Mijaran
chosen
Vielha e Mijaran is a mountain town in the central Pyrenees of Catalonia, Spain, known as the main administrative and commercial center of the Val d’Aran.
-
B.
Pico de Aneto
Pico de Aneto is the highest mountain in the Pyrenees, renowned for its extensive glaciers and challenging alpine routes.
-
C.
Veleta
Veleta is one of the highest and most prominent peaks in Spain’s Sierra Nevada mountain range, popular for mountaineering and skiing.
-
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.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd82a864819082bd1181a16d5208 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8a126f881909c378eca59b570a0 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 9:57 p.m.