Triple
T16242172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de la Tinée |
E394275
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Roubion |
E583526
|
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: Roubion | Statement: [Vallée de la Tinée, hasSettlement, Roubion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roubion Context triple: [Vallée de la Tinée, hasSettlement, Roubion]
-
A.
Roubion
chosen
Roubion is a small mountain village and commune in the Alpes-Maritimes department of southeastern France, known for its medieval character and location in the southern Alps.
-
B.
Roubion
Roubion is a river in southeastern France that flows through the Drôme department, including the town of Montélimar.
-
C.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
D.
Teigne
Teigne is the traditional title held by the monarch of the Serer kingdom of Baol in what is now Senegal.
-
E.
Yerre
The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
- 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.