Triple
T23233687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schengen departures area |
E581228
|
entity |
| Predicate | mayBeMonitoredBy |
P70758
|
FINISHED |
| Object | airport security staff |
—
|
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: airport security staff | Statement: [Schengen departures area, mayBeMonitoredBy, airport security staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeMonitoredBy Context triple: [Schengen departures area, mayBeMonitoredBy, airport security staff]
-
A.
canBeMonitoredWith
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
-
B.
isMonitored
chosen
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.
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).
-
E.
monitoredWithSupportFrom
Indicates that an entity is being monitored or observed with assistance, resources, or backing provided by 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e7bed88190b914b238c5f49860 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.