Triple
T7376656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pine Island Glacier |
E170140
|
entity |
| Predicate | calvingEventsObserved |
P4994
|
FINISHED |
| Object | frequent |
—
|
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: frequent | Statement: [Pine Island Glacier, calvingEventsObserved, frequent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calvingEventsObserved Context triple: [Pine Island Glacier, calvingEventsObserved, frequent]
-
A.
calvingProduces
Indicates that the biological process of calving results in or brings about a particular outcome, product, or entity.
-
B.
calvingProcess
Indicates the process in which a cow gives birth to a calf, encompassing the stages and actions involved in parturition.
-
C.
calvingGrounds
Indicates areas where animals, typically large mammals, go to give birth and rear their newborns.
-
D.
hasIcebergs
chosen
Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
-
E.
hasMeltwaterContributionTo
Indicates that one entity contributes meltwater (from melting ice or snow) to another entity, such as a water body or hydrological system.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a8b18c8190ad1a19521eda2319 |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.