Triple
T13077151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Popo |
E329606
|
entity |
| Predicate | hasMonitoringSystem |
P80146
|
FINISHED |
| Object | volcanic alert traffic light system |
—
|
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: volcanic alert traffic light system | Statement: [El Popo, hasMonitoringSystem, volcanic alert traffic light system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonitoringSystem Context triple: [El Popo, hasMonitoringSystem, volcanic alert traffic light system]
-
A.
canBeMonitoredWith
chosen
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
-
B.
isMonitored
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
C.
isMonitoredIn
Indicates that an entity is being observed, tracked, or supervised within a particular context, system, or environment.
-
D.
usesMonitoringProcedure
Indicates that an entity employs a specific monitoring procedure to observe, track, or assess something.
-
E.
monitoringBody
Indicates that one entity is responsible for overseeing, supervising, or tracking the activities, performance, or compliance of another entity.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:01 p.m.