Triple
T4229108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalanche Gulch route |
E94533
|
entity |
| Predicate | technicalGrade |
P55445
|
FINISHED |
| Object | non-technical snow climb in good conditions |
—
|
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: non-technical snow climb in good conditions | Statement: [Avalanche Gulch route, technicalGrade, non-technical snow climb in good conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technicalGrade Context triple: [Avalanche Gulch route, technicalGrade, non-technical snow climb in good conditions]
-
A.
technologyLevel
Indicates the degree of technological advancement or sophistication associated with an entity relative to others or to a defined scale.
-
B.
isTechnical
Indicates that an entity possesses specialized technical knowledge, skills, or characteristics related to technology, engineering, or applied sciences.
-
C.
productGrade
Indicates the quality level or rating assigned to a product, typically reflecting its performance, condition, or compliance with standards.
-
D.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
E.
circuitGrade
Indicates the quality or performance level assigned to a circuit, typically reflecting how well it meets specified standards or criteria.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e51817c8190bff50f2c3b5deea0 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:05 p.m.