Triple
T858782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isère River |
E18552
|
entity |
| Predicate | hasFloodplain |
P14914
|
FINISHED |
| Object | lower Isère valley |
E18552
|
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: lower Isère valley | Statement: [Isère River, hasFloodplain, lower Isère valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lower Isère valley Context triple: [Isère River, hasFloodplain, lower Isère valley]
-
A.
Isère
Isère is a department in southeastern France known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
-
B.
Isère River
chosen
The Isère River is a significant waterway in southeastern France that flows through the Alps and the city of Grenoble before joining the Rhône.
-
C.
Ardèche
Ardèche is a department in southeastern France known for its dramatic river gorges, limestone caves, and scenic rural landscapes.
-
D.
Drôme
Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
-
E.
Creuse
Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4f740881909cb59a6c18a77af3 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c1ee4481909d5713122e5ad856 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.