Triple
T25386453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illecillewaet Glacier |
E631536
|
entity |
| Predicate | hasLongTermMonitoring |
P70758
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Illecillewaet Glacier, hasLongTermMonitoring, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongTermMonitoring Context triple: [Illecillewaet Glacier, hasLongTermMonitoring, yes]
-
A.
supportsLongTermMonitoring
Indicates that an entity enables or is compatible with ongoing, long-duration observation, tracking, or data collection over time.
-
B.
isMonitored
chosen
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
C.
isLongActing
Indicates that an entity produces effects that persist for an extended duration after administration or use.
-
D.
monitoredFor
Indicates that one entity is being observed or tracked over time to detect, assess, or manage the occurrence or progression of another entity (such as a condition, event, or risk).
-
E.
canBeMonitoredWith
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 21, 2026, 1:47 p.m.