Triple
T35631312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faraya |
E1029591
|
entity |
| Predicate | bestVisitTimeForSkiing |
P108639
|
FINISHED |
| Object | December to March |
—
|
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: December to March | Statement: [Faraya, bestVisitTimeForSkiing, December to March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestVisitTimeForSkiing Context triple: [Faraya, bestVisitTimeForSkiing, December to March]
-
A.
popularSeasonForSkiing
chosen
Indicates that a given season is commonly favored or widely chosen as a time for skiing.
-
B.
isSkiDestination
Indicates that a place serves as a location suitable or commonly used for skiing activities.
-
C.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
-
D.
hasSkiRunsFor
Indicates that something provides or includes ski runs that are suitable or intended for a particular user group or purpose.
-
E.
hasSkiAreaAccess
Indicates that an entity provides direct access to, or is directly connected with, a ski area or ski facilities.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.