Triple
T1669917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Rainier National Park |
E36099
|
entity |
| Predicate | winterActivities |
P19624
|
FINISHED |
| Object | snowshoeing |
—
|
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: snowshoeing | Statement: [Mount Rainier National Park, winterActivities, snowshoeing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterActivities Context triple: [Mount Rainier National Park, winterActivities, snowshoeing]
-
A.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
B.
hasPopularWinterSports
chosen
Indicates that a place or context is associated with winter sports that are widely practiced, enjoyed, or well-attended.
-
C.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
D.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
E.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.