Triple
T3350116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Critérium du Dauphiné Libéré 1963 |
E70469
|
entity |
| Predicate | startLocation |
P389
|
FINISHED |
| Object | Valence |
E8671
|
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: Valence | Statement: [Critérium du Dauphiné Libéré 1963, startLocation, Valence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valence Context triple: [Critérium du Dauphiné Libéré 1963, startLocation, Valence]
-
A.
Valence
chosen
Valence is a historic city in southeastern France known as a key cultural and commercial center in the Drôme department.
-
B.
Vals
Vals is a Swiss Alpine village in the canton of Graubünden, renowned for its hot springs and Peter Zumthor’s iconic Therme Vals spa complex.
-
C.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
D.
Valor
Valor is a concept or quality associated with courage and bravery in the context of warfare and heroic action.
-
E.
Positivity
"Positivity" is a song featured on Stevie Wonder's 2005 album *A Time to Love*, known for its uplifting message and soulful, socially conscious style.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21f3ae48190a33530712da01bc3 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3252adb9c8190b053c8da0c0488a3 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:12 p.m.