Triple
T30977933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna di Campiglio |
E789279
|
entity |
| Predicate | mainSkiSlope |
P105595
|
FINISHED |
| Object | Canalone Miramonti |
—
|
NE NERFINISHED |
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: Canalone Miramonti | Statement: [Madonna di Campiglio, mainSkiSlope, Canalone Miramonti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSkiSlope Context triple: [Madonna di Campiglio, mainSkiSlope, Canalone Miramonti]
-
A.
skiResortOnSlopes
Indicates that a ski resort is located on or directly adjacent to specific ski slopes.
-
B.
hasSkiRunsFor
Indicates that something provides or includes ski runs that are suitable or intended for a particular user group or purpose.
-
C.
isSkiDestination
Indicates that a place serves as a location suitable or commonly used for skiing activities.
-
D.
hasSkiAreaSide
chosen
Indicates that something is located on or associated with a particular side or slope of a ski area.
-
E.
hasSkiAreaVerticalDrop
Indicates the vertical distance in elevation between the highest and lowest points of a ski area.
- F. None of above.
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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 29, 2026, 8:55 p.m.