Triple
T11457605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doux River |
E271569
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Vivarais |
E55089
|
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: Vivarais | Statement: [Doux River, region, Vivarais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivarais Context triple: [Doux River, region, Vivarais]
-
A.
Vivarais
chosen
Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
-
B.
Visaltia
Visaltia is a municipality in northern Greece located within the Serres regional unit in Central Macedonia.
-
C.
Vrilissia
Vrilissia is a suburban municipality in the northeastern part of the Athens metropolitan area in Greece.
-
D.
Vassa
Vassa is the traditional Buddhist rainy-season retreat during which monks remain in one place for intensive meditation and study.
-
E.
Vimaranes
Vimaranes is the historical figure after whom the Portuguese city of Guimarães is believed to be named, reflecting its early medieval origins.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c71b1208190be1d5623d18e0222 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e903781881908e96c66ecfca2911 |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.