Triple
T35404839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excluded Parties List System |
E1023337
|
entity |
| Predicate | monitoredEntityType |
P182936
|
FINISHED |
| Object | individuals |
—
|
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: individuals | Statement: [Excluded Parties List System, monitoredEntityType, individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitoredEntityType Context triple: [Excluded Parties List System, monitoredEntityType, individuals]
-
A.
monitoringTarget
Indicates that one entity is being observed, tracked, or supervised by another as the focus of monitoring activities.
-
B.
monitoredFor
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).
-
C.
supervisedEntityType
Indicates that one entity has the role of supervising, overseeing, or managing another entity of a specified type.
-
D.
monitorType
Indicates the type or category of monitor associated with or used by an entity.
-
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. 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79540f4488190957f5abf736f437f |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.