Triple
T6607890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paso Cardenal Samoré |
E149162
|
entity |
| Predicate | mayBeClosedDueTo |
P56011
|
FINISHED |
| Object | heavy snowfall |
—
|
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: heavy snowfall | Statement: [Paso Cardenal Samoré, mayBeClosedDueTo, heavy snowfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeClosedDueTo Context triple: [Paso Cardenal Samoré, mayBeClosedDueTo, heavy snowfall]
-
A.
closedBy
Indicates that one entity performs the action of closing, finishing, or terminating another entity (such as a task, issue, or process).
-
B.
closedFor
chosen
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
C.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
D.
subjectToClosure
Indicates that an entity is liable or scheduled to be closed, discontinued, or shut down under certain conditions or plans.
-
E.
closureReason
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.