Triple
T17442605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castellane |
E424694
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Verdon |
—
|
NE NERFINISHED |
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: Verdon | Statement: [Castellane, river, Verdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verdon Context triple: [Castellane, river, Verdon]
-
A.
Verdon
Verdon is a surname most notably associated with American actress and dancer Gwen Verdon.
-
B.
Verdon River
chosen
The Verdon River is a picturesque river in southeastern France renowned for carving the dramatic Verdon Gorge, one of Europe’s most spectacular canyon landscapes.
-
C.
Verdon Gorge
Verdon Gorge is a spectacular limestone canyon in southeastern France, renowned for its turquoise river, dramatic cliffs, and popularity for hiking, climbing, and water sports.
-
D.
Canyon
Canyon is a small city in the Texas Panhandle known as the home of West Texas A&M University and a gateway to Palo Duro Canyon State Park.
-
E.
Canyon
Canyon is a 1959 abstract expressionist painting by Helen Frankenthaler, known for its innovative soak-stain technique and luminous color fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff82bbc819095dd0621137da809 |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.