Triple
T11400754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llívia |
E270100
|
entity |
| Predicate | locatedInMountainRange |
P651
|
FINISHED |
| Object | Pyrenees |
E7087
|
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: Pyrenees | Statement: [Llívia, locatedInMountainRange, Pyrenees]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyrenees Context triple: [Llívia, locatedInMountainRange, Pyrenees]
-
A.
Pyrenees
chosen
The Pyrenees are a major mountain range in southwest Europe forming a natural border between France and Spain, known for their rugged peaks, scenic valleys, and popular hiking and skiing areas.
-
B.
Sierra de Francia
Sierra de Francia is a mountainous subrange in western Spain known for its rugged landscapes, traditional villages, and rich natural and cultural heritage.
-
C.
Montes Alpes
Montes Alpes is a prominent lunar mountain range located along the northeastern edge of Mare Imbrium on the Moon.
-
D.
Alps
The Alps are a major European mountain range stretching across several countries, renowned for their high peaks, including Mont Blanc, and their importance for tourism, skiing, and alpine ecosystems.
-
E.
Albis range
The Albis range is a chain of wooded hills in the canton of Zurich, Switzerland, forming a prominent natural backdrop southwest of the city and overlooking Lake Zurich.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001adc188190ae45227856156412 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8cc338081908da977b5b7c6bef3 |
completed | April 20, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:34 p.m.