Triple
T10838723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuji Volcanic Zone |
E255829
|
entity |
| Predicate | volcanoDistribution |
P96001
|
FINISHED |
| Object | aligned along NE–SW trend |
—
|
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: aligned along NE–SW trend | Statement: [Fuji Volcanic Zone, volcanoDistribution, aligned along NE–SW trend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volcanoDistribution Context triple: [Fuji Volcanic Zone, volcanoDistribution, aligned along NE–SW trend]
-
A.
numberOfVolcanoes
Indicates the count of volcanoes associated with a given entity or within a specified context.
-
B.
volcanicProvince
Indicates a relationship where a geographic area is classified as a volcanic province, meaning it is characterized by related volcanic features or activity.
-
C.
volcanoNumber
Indicates that an entity is assigned a specific identifying number within a system or catalog of volcanoes.
-
D.
percentageOfWorldVolcanoes
Indicates the proportion of all volcanoes on Earth that is accounted for by a given entity.
-
E.
associatedVolcano
Indicates that there is a specific volcano linked or connected to the referenced entity, such as by location, impact, or relevance.
- 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.