Triple
T19531621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rollins Pass route over the Continental Divide |
E488668
|
entity |
| Predicate | operationalIssue |
P54463
|
FINISHED |
| Object | frequent closures due to snow |
—
|
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: frequent closures due to snow | Statement: [Rollins Pass route over the Continental Divide, operationalIssue, frequent closures due to snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalIssue Context triple: [Rollins Pass route over the Continental Divide, operationalIssue, frequent closures due to snow]
-
A.
laterOperationalIssue
Indicates that an operational issue occurred at some point after a referenced time, event, or condition.
-
B.
operationalChallenge
chosen
Indicates that an entity faces difficulties, obstacles, or inefficiencies in carrying out its regular operations or processes.
-
C.
operatorTrainingIssue
Indicates that there is a problem, deficiency, or concern related to the training of an operator in performing a specific task or role.
-
D.
operationalTask
Indicates that an entity is engaged in, responsible for, or associated with a specific operational activity or task within a process or system.
-
E.
operationalService
Indicates that one entity provides, performs, or is responsible for carrying out a particular service or operation for another 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363fd1f8819080805346efad2579 |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.