Triple
T399057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Dorado County |
E9237
|
entity |
| Predicate | popularActivities |
P1164
|
FINISHED |
| Object | skiing and snowboarding |
—
|
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: skiing and snowboarding | Statement: [El Dorado County, popularActivities, skiing and snowboarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularActivities Context triple: [El Dorado County, popularActivities, skiing and snowboarding]
-
A.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
B.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
C.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
placesWithin
Indicates that one place or area is located entirely inside the boundaries of another place or area.
-
E.
recommendation
Indicates that one entity suggests, endorses, or advises another entity as suitable or beneficial for a particular purpose or context.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8d0ca881909d786e8eed9b6748 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.