Triple
T11970933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johns Hopkins Glacier |
E284916
|
entity |
| Predicate | hasCalvingActivity |
P102572
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Johns Hopkins Glacier, hasCalvingActivity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCalvingActivity Context triple: [Johns Hopkins Glacier, hasCalvingActivity, high]
-
A.
calvingProcess
Indicates the process in which a cow gives birth to a calf, encompassing the stages and actions involved in parturition.
-
B.
calvingProduces
Indicates that the biological process of calving results in or brings about a particular outcome, product, or entity.
-
C.
hasMammaryGlands
Indicates that the subject possesses mammary glands, typically used for producing milk to nourish offspring.
-
D.
hasBreedingProgram
Indicates that an entity operates, participates in, or maintains an organized program for breeding organisms (such as animals or plants).
-
E.
hasBreedingCode
Indicates that an entity is associated with a specific code representing its breeding status, behavior, or category.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037d32e88190b1509285dc907d29 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.