Triple
T22405701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Apt |
E553875
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Viens |
—
|
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: Viens | Statement: [canton of Apt, contains, Viens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viens Context triple: [canton of Apt, contains, Viens]
-
A.
Viens
chosen
Viens is a small historic village in southeastern France’s Vaucluse department, known for its medieval architecture and picturesque Provençal setting.
-
B.
Viekšniai
Viekšniai is a small town in northern Lithuania known for its historical architecture and location near the Virvyčia River.
-
C.
Siviez
Siviez is a small alpine hamlet and ski hub in the Swiss canton of Valais, forming part of the Nendaz resort area within the 4 Vallées ski domain.
-
D.
Tūs
Tūs is an ancient city in northeastern Iran, historically significant as a cultural and literary center and traditionally regarded as the birthplace of the Persian poet Ferdowsi.
-
E.
Vecrīga
Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b739b88190a7f1f20fd1e9b188 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.