Triple
T13411837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meurthe River |
E320107
|
entity |
| Predicate | sourceRegion |
P410
|
FINISHED |
| Object | Vosges Mountains |
E64937
|
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: Vosges Mountains | Statement: [Meurthe River, sourceRegion, Vosges Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vosges Mountains Context triple: [Meurthe River, sourceRegion, Vosges Mountains]
-
A.
Vosges Mountains
chosen
The Vosges Mountains are a low, rounded mountain range in northeastern France known for their forested slopes, scenic lakes, and popular hiking and skiing areas.
-
B.
Morvan Massif
The Morvan Massif is a heavily forested highland region in central France known for its rounded granite hills, lakes, and protected natural landscapes.
-
C.
Rouen Mountains
The Rouen Mountains are a rugged mountain range located on Alexander Island off the coast of Antarctica.
-
D.
Chartreuse Massif
Chartreuse Massif is a prominent limestone mountain range in southeastern France, known for its dramatic cliffs, deep gorges, and the Carthusian monastery that inspired the Chartreuse liqueur.
-
E.
Bornes Massif
Bornes Massif is a limestone mountain range in the French Alps, known for its rugged peaks and scenic hiking areas near Lake Annecy.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9ec6848190b8e986d849756050 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:35 p.m.