Triple
T4016294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vesle River |
E90768
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object | Vesle |
E90768
|
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: Vesle | Statement: [Vesle River, hasNameInFrench, Vesle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesle Context triple: [Vesle River, hasNameInFrench, Vesle]
-
A.
Veavågen
Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
-
B.
Vesdre
The Vesdre is a river in eastern Belgium that flows through the Ardennes and Liège region before joining the Meuse.
-
C.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
D.
Vesle River
chosen
The Vesle River is a waterway in northeastern France that flows through the city of Reims and is a tributary of the Aisne River.
-
E.
Moldeelva
Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa7352481908232534c89a698e7 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c768e5481908b184332e3c73588 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.