Triple
T38415866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slickrock Bike Trail |
E901597
|
entity |
| Predicate | bikingDiscipline |
P71554
|
FINISHED |
| Object | cross-country mountain biking |
—
|
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: cross-country mountain biking | Statement: [Slickrock Bike Trail, bikingDiscipline, cross-country mountain biking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bikingDiscipline Context triple: [Slickrock Bike Trail, bikingDiscipline, cross-country mountain biking]
-
A.
cyclingCategory
chosen
Indicates the classification or type of cycling activity or discipline associated with an entity.
-
B.
bikeCategory
Indicates the classification or type of a bicycle that an entity is associated with.
-
C.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
D.
cyclingUse
Indicates that one entity uses or is used for cycling, such as engaging in or supporting bicycle-based transportation or activity.
-
E.
bikeType
Indicates the specific kind or category of bicycle associated with an entity.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.