Triple
T15633531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokai segment |
E375878
|
entity |
| Predicate | monitoredParameters |
P9979
|
FINISHED |
| Object | seismicity |
—
|
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: seismicity | Statement: [Tokai segment, monitoredParameters, seismicity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitoredParameters Context triple: [Tokai segment, monitoredParameters, seismicity]
-
A.
monitoredFor
chosen
Indicates that one entity is being observed or tracked over time to detect, assess, or manage the occurrence or progression of another entity (such as a condition, event, or risk).
-
B.
monitoringOutput
Indicates that one entity observes, records, or tracks the performance, behavior, or results produced by another entity or process.
-
C.
monitoringBody
Indicates that one entity is responsible for overseeing, supervising, or tracking the activities, performance, or compliance of another entity.
-
D.
isMonitored
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
E.
canBeMonitoredWith
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.