Triple
T10838725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuji Volcanic Zone |
E255829
|
entity |
| Predicate | geologicalStudyField |
P96002
|
FINISHED |
| Object | volcanology |
—
|
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: volcanology | Statement: [Fuji Volcanic Zone, geologicalStudyField, volcanology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geologicalStudyField Context triple: [Fuji Volcanic Zone, geologicalStudyField, volcanology]
-
A.
geologyIncludes
Indicates that one geological entity contains, encompasses, or has as a component another geological entity.
-
B.
geologicalRole
Indicates the functional or classificatory role an entity plays within geological processes, structures, or contexts.
-
C.
geologicalBranchOf
Indicates that one geological unit, feature, or formation is a subdivision or offshoot of a larger, parent geological entity within a hierarchical structure.
-
D.
geologicalSystem
Indicates that one entity is a geological system (e.g., rock units, structures, or processes forming a coherent geologic framework) associated with or characterizing the other entity.
-
E.
geologicalDifferentiation
Indicates that a geological body has undergone internal separation into distinct layers or zones based on differences in composition, density, or physical properties.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d747012fa48190af06de2cfb231d5b |
completed | April 9, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:19 p.m.