Triple
T16431428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSIDC DAAC |
E399077
|
entity |
| Predicate | dataDiscipline |
P592
|
FINISHED |
| Object | cryospheric science |
—
|
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: cryospheric science | Statement: [NSIDC DAAC, dataDiscipline, cryospheric science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataDiscipline Context triple: [NSIDC DAAC, dataDiscipline, cryospheric science]
-
A.
studiedByDiscipline
Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
-
B.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
C.
governingDiscipline
Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
-
D.
dimensionOfStudy
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
-
E.
associatedWithDiscipline
chosen
Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9dffe48190a23852f828af55d8 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.