Triple
T20456382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RER Vaud |
E501798
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Aigle |
—
|
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: Aigle | Statement: [RER Vaud, connects, Aigle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aigle Context triple: [RER Vaud, connects, Aigle]
-
A.
Aigle
chosen
Aigle is a historic town in southwestern Switzerland known for its medieval castle and surrounding vineyards in the canton of Vaud.
-
B.
L’Aigle
L’Aigle is a small historic town in northwestern France known for its role in the Orne department and its traditional Norman character.
-
C.
Aigle Azur
Aigle Azur was a French airline known for operating scheduled passenger services, particularly linking France with North and West African destinations.
-
D.
Nid d'Aigle
Nid d'Aigle is a high-altitude railway terminus and popular starting point for mountaineers heading towards Mont Blanc in the French Alps.
-
E.
Loiseau
Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.