Triple
T32763681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Moiwa Ropeway |
E837826
|
entity |
| Predicate | maySuspendOperationDueTo |
P175092
|
FINISHED |
| Object | strong winds |
—
|
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: strong winds | Statement: [Mount Moiwa Ropeway, maySuspendOperationDueTo, strong winds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maySuspendOperationDueTo Context triple: [Mount Moiwa Ropeway, maySuspendOperationDueTo, strong winds]
-
A.
maySuspend
Indicates that one entity has the authority or permission to temporarily suspend another entity or its associated activity, status, or operation.
-
B.
supportsSuspension
Indicates that one entity provides the necessary structure, strength, or mechanism to hold or keep another entity suspended.
-
C.
cannotBeSuspendedExcept
Indicates that an entity’s operation or status is not allowed to be suspended, except under explicitly defined special conditions or circumstances.
-
D.
suspendedOperations
Indicates that an entity has temporarily halted or discontinued its normal operations or activities.
-
E.
workSuspensionRequired
Indicates that a temporary halt or suspension of work activities is mandated under certain conditions.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:13 a.m.