Triple
T19099890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colton-MacIntyre route |
E467503
|
entity |
| Predicate | seriousness |
P134367
|
FINISHED |
| Object | serious alpine 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: serious alpine conditions | Statement: [Colton-MacIntyre route, seriousness, serious alpine conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriousness Context triple: [Colton-MacIntyre route, seriousness, serious alpine conditions]
-
A.
arity
Indicates the number of arguments or participants that a relation or function takes.
-
B.
stance
Indicates the position, attitude, or viewpoint one entity holds toward another entity, issue, or proposition.
-
C.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
D.
formalityLevel
Indicates the degree of social or stylistic formality characterizing an interaction, expression, or context between entities.
-
E.
tone
Indicates the characteristic attitude or emotional quality expressed in how something is communicated or presented.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36d279081908aeb472cd740c302 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.