Triple
T8984483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verdon River |
E214622
|
entity |
| Predicate | forms |
P2100
|
FINISHED |
| Object | Verdon Gorge |
E777020
|
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: Verdon Gorge | Statement: [Verdon River, forms, Verdon Gorge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verdon Gorge Context triple: [Verdon River, forms, Verdon Gorge]
-
A.
Verdon Gorge
chosen
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.
-
B.
Verdon
Verdon is a surname most notably associated with American actress and dancer Gwen Verdon.
-
C.
Nestos Gorge
Nestos Gorge is a dramatic river canyon in northeastern Greece, renowned for its steep cliffs, rich biodiversity, and popular hiking and rafting routes along the Nestos River.
-
D.
White River gorge
White River gorge is a steep, scenic canyon carved by the White River, known for its rugged cliffs, forested slopes, and dramatic river views.
-
E.
Lori Gorge
Lori Gorge is a scenic canyon region in northern Armenia known for its dramatic cliffs, forests, and historic monasteries along the Debed River.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ecc5188190a6fb4d5456893121 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fb3a27081909bc8504c92d8942f |
completed | April 3, 2026, 9:22 p.m. |
Created at: March 30, 2026, 7:03 p.m.