Triple
T17449883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selectee List |
E424886
|
entity |
| Predicate | hasStricterMeasureThan |
P90714
|
FINISHED |
| Object | standard passenger screening |
—
|
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: standard passenger screening | Statement: [Selectee List, hasStricterMeasureThan, standard passenger screening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStricterMeasureThan Context triple: [Selectee List, hasStricterMeasureThan, standard passenger screening]
-
A.
hasStricterStandardThan
chosen
Indicates that one entity’s rules, criteria, or requirements are more demanding or rigorous than those of another entity.
-
B.
isCanonicalMeasureFor
Indicates that one measure is the standard or authoritative representation used to quantify or express another measure or concept.
-
C.
strongerThan
Indicates that one entity possesses greater strength, power, or intensity than another.
-
D.
isStrongerProtectionThan
Indicates that one form of protection provides a higher level of security, defense, or safeguarding compared to another.
-
E.
containsMeasure
Indicates that one entity includes or encompasses a specific measure or quantitative component as part of its content or structure.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.