Triple
T5966525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont-de-l’Isère |
E132764
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Rhône (nearby) |
E1922
|
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: Rhône (nearby) | Statement: [Pont-de-l’Isère, hasRiver, Rhône (nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhône (nearby) Context triple: [Pont-de-l’Isère, hasRiver, Rhône (nearby)]
-
A.
Petit-Rhône
Petit-Rhône is a minor branch of the Rhône River in southern France that flows through the Camargue wetlands before reaching the Mediterranean Sea.
-
B.
Rhône
Rhône is a department in eastern France named after the Rhône River, known for its capital city Lyon and its significant role in the country's economic and cultural life.
-
C.
Rhône River
chosen
The Rhône River is a major European waterway that flows from the Swiss Alps through Lake Geneva into southeastern France, ultimately emptying into the Mediterranean Sea.
-
D.
Morges River
The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
-
E.
Vallée de la Dranse
Vallée de la Dranse is a river valley in the French Alps shaped by the Dranse River, known for its mountainous landscapes and outdoor recreation opportunities.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3e06848190b1d1a191db257a07 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3ff62f08190be56bb9c450c9647 |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:03 p.m.