Triple
T22105884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perito Moreno Glacier |
E546282
|
entity |
| Predicate | ruptureEventsFrequency |
P147003
|
FINISHED |
| Object | irregular multi-year intervals |
—
|
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: irregular multi-year intervals | Statement: [Perito Moreno Glacier, ruptureEventsFrequency, irregular multi-year intervals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruptureEventsFrequency Context triple: [Perito Moreno Glacier, ruptureEventsFrequency, irregular multi-year intervals]
-
A.
rupturesDuring
Indicates that one event or process ruptures or breaks while another specified event or time period is occurring.
-
B.
earthquakeRecurrence
Indicates the typical frequency or interval at which earthquakes occur or are expected to recur in a given context.
-
C.
frequentNaturalHazard
Indicates that a location or area regularly experiences natural hazards such as floods, earthquakes, storms, or similar events with notable frequency.
-
D.
eruptionFrequency
Indicates how often an eruption event occurs within a given time period.
-
E.
rupturedFaultSystem
Indicates that a seismic event has caused a fault system to break and slip along one or more of its segments.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12918d7a4819080283c287a253c9f |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:30 p.m.