Triple
T1492300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Versoix |
E29605
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Versoix River |
E83952
|
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: Versoix River | Statement: [Versoix, hasRiver, Versoix River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versoix River Context triple: [Versoix, hasRiver, Versoix River]
-
A.
Versoix River
chosen
The Versoix River is a small river in western Switzerland that flows through the canton of Geneva before emptying into Lake Geneva.
-
B.
Evinos River
The Evinos River is a significant river in western Greece known for its scenic course through mountainous terrain and its role in regional water management and outdoor recreation.
-
C.
Yeso River
The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
-
D.
Dore River
The Dore River is a river in central France that flows through the Massif Central and joins the Allier River, contributing to the Loire basin.
-
E.
Vingeanne River
The Vingeanne River is a watercourse in eastern France that flows through the Bourgogne-Franche-Comté region before joining the Saône 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c4f0c88190a97ba4910c1a5d85 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de5dc6e88190beda5545a2e2f84c |
completed | March 11, 2026, 9:27 p.m. |
Created at: March 1, 2026, 8:12 p.m.