Triple
T1097454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Security number |
E24300
|
entity |
| Predicate | notIntendedFor |
P7974
|
FINISHED |
| Object | general public identification card |
—
|
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: general public identification card | Statement: [Social Security number, notIntendedFor, general public identification card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notIntendedFor Context triple: [Social Security number, notIntendedFor, general public identification card]
-
A.
notTypicallyUsedFor
chosen
Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
-
B.
notRecommendedBy
Indicates that one entity explicitly advises against or does not endorse another entity.
-
C.
notRecognizedBy
Indicates that one entity does not acknowledge, accept, or formally recognize the status, authority, or validity of another entity.
-
D.
notAdjustedFor
Indicates that a value, measure, or result has not been modified or corrected to account for certain factors, conditions, or variables.
-
E.
notFunction
Indicates that the specified entity does not serve as a function or is not used in a functional role within the given context.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9a1d3108190b2a304fef429848d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b745ef3481909a7ce4647c8567b3 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.