Triple
T18887822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruson |
E462001
|
entity |
| Predicate | hasSkiAreaCharacteristic |
P105595
|
FINISHED |
| Object | north-facing slopes |
—
|
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: north-facing slopes | Statement: [Bruson, hasSkiAreaCharacteristic, north-facing slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiAreaCharacteristic Context triple: [Bruson, hasSkiAreaCharacteristic, north-facing slopes]
-
A.
hasSkiResortType
Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
-
B.
hasSkiAreaSide
chosen
Indicates that something is located on or associated with a particular side or slope of a ski area.
-
C.
hasSkiCenter
Indicates that a location or entity possesses or hosts a ski center as one of its facilities or features.
-
D.
hasSkiTrails
Indicates that a location or facility includes one or more designated ski trails available for use.
-
E.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c4777434819098850da0ee1c6b43 |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.