Triple
T33616435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hintereisferner |
E861130
|
entity |
| Predicate | massBalanceMonitoringSince |
P70758
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Hintereisferner, massBalanceMonitoringSince, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massBalanceMonitoringSince Context triple: [Hintereisferner, massBalanceMonitoringSince, 1950s]
-
A.
massBalanceTrend
Indicates the direction and rate of change in the mass balance of a system (e.g., gaining, losing, or maintaining mass) over time.
-
B.
massBalance
Indicates that the total mass entering a system equals the total mass leaving or accumulating within it, reflecting conservation of mass.
-
C.
hasMassBalance
Indicates that one entity maintains or specifies the conservation and accounting of mass flows relative to another entity or system.
-
D.
isMonitored
chosen
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
E.
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).
- 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_69f34980fabc81909819228729a9ca84 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f817bc888190939e060506dca59a |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.