Triple
T414403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Social Security system |
E9559
|
entity |
| Predicate | hasIdentificationNumber |
P1285
|
FINISHED |
| Object | Social Security number |
—
|
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: Social Security number | Statement: [United States Social Security system, hasIdentificationNumber, Social Security number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIdentificationNumber Context triple: [United States Social Security system, hasIdentificationNumber, Social Security number]
-
A.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
B.
hasIdentityDocument
Indicates that an entity possesses or is associated with a specific identity document.
-
C.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
D.
hasIdentifierSystem
chosen
Indicates that an entity is associated with a particular system or scheme used to assign and manage its identifiers.
-
E.
hasSocialIdentity
Indicates that an entity possesses or is associated with a particular social identity, such as a role, group membership, or socially recognized status.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edcff4688190809d83d112ff25a5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.