Triple
T22004593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Pass route |
E543417
|
entity |
| Predicate | hasOperatingChallenges |
P54463
|
FINISHED |
| Object | avalanche risk |
—
|
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: avalanche risk | Statement: [Tennessee Pass route, hasOperatingChallenges, avalanche risk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperatingChallenges Context triple: [Tennessee Pass route, hasOperatingChallenges, avalanche risk]
-
A.
hasDifficultyWith
Indicates that one entity experiences problems, challenges, or lack of proficiency in dealing with, understanding, or performing something related to another entity.
-
B.
facedChallenges
Indicates that an entity has encountered and had to deal with difficulties, obstacles, or adverse conditions.
-
C.
hasEconomicChallenge
Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
-
D.
operationalChallenge
chosen
Indicates that an entity faces difficulties, obstacles, or inefficiencies in carrying out its regular operations or processes.
-
E.
hasOngoingIssues
Indicates that an entity is currently experiencing unresolved or continuing problems or difficulties.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276d81e4819083a40e51249e7fd7 |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:20 p.m.