Triple
T4243701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secure Flight |
E95474
|
entity |
| Predicate | privacySafeguard |
P15689
|
FINISHED |
| Object | use of data only for watch list matching and security purposes |
—
|
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: use of data only for watch list matching and security purposes | Statement: [Secure Flight, privacySafeguard, use of data only for watch list matching and security purposes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privacySafeguard Context triple: [Secure Flight, privacySafeguard, use of data only for watch list matching and security purposes]
-
A.
privacyProperty
Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
-
B.
privacyCharacteristic
chosen
Indicates the specific privacy-related property or feature that characterizes how information is handled, protected, or exposed in a given context.
-
C.
protects
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
D.
safeguard
Indicates taking protective actions to shield someone or something from harm, loss, or danger.
-
E.
protectionMeasures
Indicates actions or safeguards implemented to prevent harm, damage, or risk to someone or something.
- 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_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. |
Created at: March 12, 2026, 11:05 p.m.