Triple
T17600663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col d’Aspin |
E428690
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Arreau |
—
|
NE NERFINISHED |
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: Arreau | Statement: [Col d’Aspin, connects, Arreau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arreau Context triple: [Col d’Aspin, connects, Arreau]
-
A.
Arreau
chosen
Arreau is a picturesque village in the French Pyrenees, known for its traditional mountain architecture and location at the confluence of the Neste d’Aure and Neste du Louron rivers.
-
B.
Abasolo
Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
-
C.
Beniferri
Beniferri is a neighborhood in the city of Valencia, Spain, known for its residential character and proximity to the Benimàmet area.
-
D.
Kantua
Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
-
E.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c48dfc08190ba360e6082cffa87 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.