Triple
T1419621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardonecchia |
E31993
|
entity |
| Predicate | hasMountainSport |
P27566
|
FINISHED |
| Object | alpine skiing |
—
|
LITERAL 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 skiing | Statement: [Bardonecchia, hasMountainSport, alpine skiing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountainSport Context triple: [Bardonecchia, hasMountainSport, alpine skiing]
-
A.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
B.
hasMountainScenery
Indicates that a place or area features views or landscapes dominated by mountains.
-
C.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
D.
hasMountainRange
Indicates that one entity possesses, contains, or is geographically associated with a specific mountain range.
-
E.
climbingDiscipline
Indicates the specific style or category of climbing practiced or associated with an entity (e.g., bouldering, sport, trad).
- F. None of above. chosen
Provenance (4 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c40631e881909ddf81a2eb84af1c |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:59 p.m.