Triple
T21215502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schaffer Farm mountain bike trails |
E522824
|
entity |
| Predicate | hasTrailExperience |
P143591
|
FINISHED |
| Object | short after-work rides |
—
|
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: short after-work rides | Statement: [Schaffer Farm mountain bike trails, hasTrailExperience, short after-work rides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailExperience Context triple: [Schaffer Farm mountain bike trails, hasTrailExperience, short after-work rides]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasRideExperience
Indicates that one entity has undergone, participated in, or possesses experience with a particular ride or riding activity in relation to another entity.
-
C.
hasTrailheads
Indicates that one location or area contains or provides access points where trails begin.
-
D.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
E.
hasClimbingHistorySince
Indicates that an entity has been engaged in climbing activities continuously or recurrently starting from a specified point in time.
- F. None of above. chosen
Provenance (4 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73473870c8190a0f41f9c85567aa7 |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:40 p.m.