Triple
T21215506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schaffer Farm mountain bike trails |
E522824
|
entity |
| Predicate | hasTrailDesign |
P1529
|
FINISHED |
| Object | loop-based design |
—
|
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: loop-based design | Statement: [Schaffer Farm mountain bike trails, hasTrailDesign, loop-based design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailDesign Context triple: [Schaffer Farm mountain bike trails, hasTrailDesign, loop-based design]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
C.
hasTrailFeature
Indicates that a trail possesses or is characterized by a specific feature or attribute.
-
D.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
E.
hasTrunkCarvings
Indicates that an entity (typically a tree) possesses carvings or engravings on its trunk.
- 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_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. |
Created at: April 16, 2026, 3:40 p.m.