Triple
T3030490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comtat Venaissin |
E82881
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cavaillon |
E180346
|
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: Cavaillon | Statement: [Comtat Venaissin, contains, Cavaillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavaillon Context triple: [Comtat Venaissin, contains, Cavaillon]
-
A.
Cavaillon
chosen
Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
-
B.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
C.
Bourgoin-Jallieu
Bourgoin-Jallieu is a commune in southeastern France known as an important commercial and transport hub in the Isère department, northeast of Lyon.
-
D.
Carpentras
Carpentras is a historic town in southeastern France’s Provence region, known for its medieval architecture, rich Jewish heritage, and role as a former papal territory.
-
E.
Tournon-sur-Rhône
Tournon-sur-Rhône is a historic town in southeastern France on the banks of the Rhône River, known for its medieval architecture and wine-growing surroundings.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aecd384819085d15f701add7c44 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276d6aaec8190b741e58790c4af23 |
completed | March 12, 2026, 8:18 a.m. |
Created at: March 8, 2026, 3:01 p.m.