Triple
T9716019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Nevada Ski Station |
E235143
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Pradollano |
E226630
|
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: Pradollano | Statement: [Sierra Nevada Ski Station, hasVillage, Pradollano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pradollano Context triple: [Sierra Nevada Ski Station, hasVillage, Pradollano]
-
A.
Pradollano
chosen
Pradollano is the main village and ski resort base in Spain’s Sierra Nevada mountains, known for its high-altitude slopes and lively après-ski atmosphere.
-
B.
Villagarzón
Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
-
C.
Villanúa
Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
-
D.
Avilés
Avilés is a historic coastal city in northern Spain’s Asturias region, known for its medieval old town and long maritime and industrial heritage.
-
E.
Vallecillo
Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0bb82081908e21a646f4de1a61 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f941b908190a3e27f4b6c1b3535 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:20 p.m.