Triple
T35089708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Siple |
E1012682
|
entity |
| Predicate | hasVolcanicHazardLevel |
P182510
|
FINISHED |
| Object | poorly constrained |
—
|
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: poorly constrained | Statement: [Mount Siple, hasVolcanicHazardLevel, poorly constrained]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolcanicHazardLevel Context triple: [Mount Siple, hasVolcanicHazardLevel, poorly constrained]
-
A.
hasVolcanicHazardMap
Indicates that a location or area is associated with an existing volcanic hazard map that documents potential volcanic risks there.
-
B.
hasVolcanicActivity
Indicates that the subject exhibits or is associated with ongoing or past volcanic processes, such as eruptions, lava flows, or related geothermal activity.
-
C.
hasVolcanicAlertLevelSystem
Indicates that an entity employs or is associated with a system for classifying and communicating levels of volcanic alert or hazard.
-
D.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
E.
hasVolcanicLandform
Indicates that one entity possesses, contains, or is characterized by a volcanic landform (such as a volcano, caldera, or lava plateau).
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.