Triple
T6695575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filchner-Ronne Ice Shelf |
E152740
|
entity |
| Predicate | calvingProcess |
P71513
|
FINISHED |
| Object | loses mass through iceberg calving at its front |
—
|
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: loses mass through iceberg calving at its front | Statement: [Filchner-Ronne Ice Shelf, calvingProcess, loses mass through iceberg calving at its front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calvingProcess Context triple: [Filchner-Ronne Ice Shelf, calvingProcess, loses mass through iceberg calving at its front]
-
A.
calvingGrounds
Indicates areas where animals, typically large mammals, go to give birth and rear their newborns.
-
B.
birthProcess
Indicates the biological process through which a new organism is brought into existence from its parent or parents.
-
C.
gaveBirthTo
Indicates that one entity is the biological parent who delivered another entity as offspring.
-
D.
gaveBirthAt
Indicates that one entity gave birth at a specific location or time associated with another entity.
-
E.
birthType
Indicates the manner or method by which a birth occurred or was brought about.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b5ed99e48190970805225458ce82 |
completed | March 27, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0e1d348190af1762ea1951038e |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6b5ec6f248190b4fa15fd56dcc01a |
completed | March 27, 2026, 4:53 p.m. |
Created at: March 27, 2026, 2:05 p.m.