Triple
T11528121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krampus |
E273350
|
entity |
| Predicate | geographicOrigin |
P1041
|
FINISHED |
| Object | Alpine regions |
E1926
|
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 regions | Statement: [Krampus, geographicOrigin, Alpine regions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpine regions Context triple: [Krampus, geographicOrigin, Alpine regions]
-
A.
Alpine
Alpine is a small, affluent city at the base of the Wasatch Range in northern Utah, known for its scenic mountain views and residential character.
-
B.
Alpine
Alpine is a small city in the Big Bend region of West Texas, known as a gateway to nearby desert and mountain landscapes and home to Sul Ross State University.
-
C.
Alpine
Alpine is a French sports car manufacturer renowned for its lightweight performance vehicles and historic success in rally racing.
-
D.
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.
-
E.
Alps region
chosen
The Alps region is a major European mountainous area spanning several countries, known for its high peaks, ski resorts, and scenic landscapes.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d883972b10819093bd09cf8406671c |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6256e3130819095a93c8d1891b078 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 8, 2026, 9:37 p.m.