Triple
T2505121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arpitan |
E52559
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Alpine region |
E16930
|
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: Alpine region | Statement: [Arpitan, spokenIn, Alpine region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpine region Context triple: [Arpitan, spokenIn, Alpine region]
-
A.
Alps region
The Alps region is a major European mountainous area spanning several countries, known for its high peaks, ski resorts, and scenic landscapes.
-
B.
Alps foothills
The Alps foothills are the lower, gently rolling upland regions that form the transitional zone between the flat plains and the high peaks of the Alps.
-
C.
Southern Alps
The Southern Alps are a prominent mountain range in central Japan, known for their high peaks, rugged terrain, and popular hiking and mountaineering routes.
-
D.
Southern Alps
The Southern Alps are a prominent mountain range in New Zealand known for their dramatic peaks, glaciers, and the country's highest mountain, Aoraki / Mount Cook.
-
E.
Alps
chosen
The Alps are a major European mountain range stretching across several countries, renowned for their high peaks, including Mont Blanc, and their importance for tourism, skiing, and alpine ecosystems.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cec9f48190848b6129aa394ce4 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8bc7708190a507136d1f9f34ca |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.