Triple
T680158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardon River |
E13163
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Gardon d’Alès |
E97757
|
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: Gardon d’Alès | Statement: [Gardon River, hasTributary, Gardon d’Alès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardon d’Alès Context triple: [Gardon River, hasTributary, Gardon d’Alès]
-
A.
Gardon d’Anduze
chosen
Gardon d’Anduze is a French river in the Cévennes region of southern France, known for its scenic gorges and role as a tributary within the Gardon river system.
-
B.
Ariège
Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
-
C.
Le Gardon
Le Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
-
D.
Creuse
Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
-
E.
Ardèche
Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04f4efc819082767a7517fa760a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927c75448190aafcaa955519833c |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:36 p.m.