Triple
T4243661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Known Traveler Number system |
E95473
|
entity |
| Predicate | screeningOutcome |
P54907
|
FINISHED |
| Object | expedited security screening at airports |
—
|
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: expedited security screening at airports | Statement: [Known Traveler Number system, screeningOutcome, expedited security screening at airports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screeningOutcome Context triple: [Known Traveler Number system, screeningOutcome, expedited security screening at airports]
-
A.
screeningType
Indicates the specific method or category of screening applied in a screening process or evaluation.
-
B.
hasScreened
Indicates that one entity has shown, displayed, or evaluated another entity, typically in the context of presenting media or conducting a review or check.
-
C.
firstScreeningEvent
Indicates the event representing the earliest or initial screening occurrence associated with an entity.
-
D.
typicalScreeningTime
Indicates the usual or standard amount of time allocated for a screening to take place.
-
E.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8a676c8190ac2cb59e62613dd9 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.