Triple
T16125675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Épinal |
E391263
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vosges Massif |
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 Massif | Statement: [Épinal, locatedIn, Vosges Massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vosges Massif Context triple: [Épinal, locatedIn, Vosges Massif]
-
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.
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.
-
D.
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.
-
E.
Montagne Noire
Montagne Noire is a mountain range in southern France known for its forested slopes, rich water resources, and role as a key watershed feeding regional rivers and canals.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20204fb408190b58d49d0d64bb740 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2abf9b08190a375abc842a0e7d0 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.