Triple
T4301143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Affrique |
E99838
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Sorgues |
E198645
|
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: Sorgues | Statement: [Saint-Affrique, river, Sorgues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorgues Context triple: [Saint-Affrique, river, Sorgues]
-
A.
Sorgues
chosen
Sorgues is a commune in southeastern France’s Vaucluse department, known for its location near Avignon and its position at the confluence of the Ouvèze and Sorgue rivers.
-
B.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
C.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
-
D.
L’Isle-sur-la-Sorgue
L’Isle-sur-la-Sorgue is a picturesque Provençal town in southeastern France renowned for its canals, antique markets, and historic waterwheels.
-
E.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509fb2b88190a13ab88a5b924052 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd569f30088190bdc9ea72fe35be35 |
completed | March 20, 2026, 2:15 p.m. |
Created at: March 12, 2026, 11:08 p.m.