Triple
T12579290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borne River |
E300290
|
entity |
| Predicate | hasMouthIn |
P1008
|
FINISHED |
| Object | Arve valley |
E300291
|
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: Arve valley | Statement: [Borne River, hasMouthIn, Arve valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arve valley Context triple: [Borne River, hasMouthIn, Arve valley]
-
A.
Arve Valley
chosen
Arve Valley is a scenic Alpine valley in southeastern France and western Switzerland shaped by the Arve River, known for its mountain landscapes and proximity to Mont Blanc.
-
B.
Loen valley
Loen valley is a scenic glacial valley in western Norway known for its dramatic mountains, turquoise lakes, and popular hiking and outdoor activities.
-
C.
Verdal valley
Verdal valley is a fertile agricultural valley in Trøndelag county, central Norway, known for its farming landscape and the town of Verdalsøra.
-
D.
Urseren valley
Urseren valley is a high Alpine valley in the Swiss canton of Uri, best known for the town of Andermatt and its strategic location along major transalpine routes.
-
E.
Ossau Valley
Ossau Valley is a scenic valley in the French Pyrenees known for its dramatic mountain landscapes, traditional pastoral villages, and popular hiking and skiing routes.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6559ba5108190b85be540a405eec8 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 9, 2026, 5 p.m.