Triple
T15723088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Diente Peak |
E381150
|
entity |
| Predicate | hasClimbingClassification |
P19708
|
FINISHED |
| Object | Class 3 |
—
|
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: Class 3 | Statement: [El Diente Peak, hasClimbingClassification, Class 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimbingClassification Context triple: [El Diente Peak, hasClimbingClassification, Class 3]
-
A.
climbingClassification
Indicates the difficulty rating or grade assigned to a climbing route or problem.
-
B.
climbingClass
chosen
Indicates the difficulty or grade level assigned to a climbing route, problem, or activity.
-
C.
hasMountainClassification
Indicates a classification relationship where a mountain is assigned a specific type, category, or classification.
-
D.
hasClimbsCount
Indicates that an entity is associated with a specific number of climbs it has completed or is credited with.
-
E.
typeOfClimb
Indicates the specific style or category of climbing activity associated with a climb (e.g., bouldering, sport, trad).
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.