Triple
T16242174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de la Tinée |
E394275
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Auron |
E362759
|
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: Auron | Statement: [Vallée de la Tinée, hasSettlement, Auron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auron Context triple: [Vallée de la Tinée, hasSettlement, Auron]
-
A.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
B.
Auron
chosen
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
C.
Axur
Axur is the tyrannical king of Ormus and the central villain in Antonio Salieri’s opera "Axur, re d'Ormus."
-
D.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
-
E.
Alvarus
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455eeb4c81909066a8af78329ef3 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000edf64a88190a9dd0c591c742977 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.