Triple
T3685615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dordogne |
E78217
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Souillac |
E290973
|
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: Souillac | Statement: [Dordogne, passesThrough, Souillac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Souillac Context triple: [Dordogne, passesThrough, Souillac]
-
A.
Souillac
chosen
Souillac is a picturesque town in southwestern France known for its historic architecture and scenic setting along the Dordogne River.
-
B.
Vaison-la-Romaine
Vaison-la-Romaine is a historic town in southeastern France renowned for its extensive Roman archaeological sites and medieval architecture.
-
C.
Beaucaire
Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
-
D.
Tarascon
Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
-
E.
Anduze
Anduze is a historic town in southern France, known as a gateway to the Cévennes region and for its traditional pottery and scenic setting along the Gardon River.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c49b408190bc800bcf9745fe4f |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3bd473c8190b814689f3c76cada |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.