Triple
T1669913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Rainier National Park |
E36099
|
entity |
| Predicate | hikingTrailsLength |
P18078
|
FINISHED |
| Object | over 260 miles of trails |
—
|
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: over 260 miles of trails | Statement: [Mount Rainier National Park, hikingTrailsLength, over 260 miles of trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hikingTrailsLength Context triple: [Mount Rainier National Park, hikingTrailsLength, over 260 miles of trails]
-
A.
hikeLength
Indicates the distance or duration associated with a hiking activity or trail.
-
B.
longDistanceTrail
Indicates that a trail or route spans a considerable distance, typically intended for extended or multi-day travel.
-
C.
trailLengthApprox
chosen
Indicates an approximate measurement of the total length of a trail.
-
D.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
E.
longDistanceTrailEnd
Indicates that a location serves as the endpoint or terminus of a long-distance trail.
- 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.