Triple
T22029567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form W-7 |
E544049
|
entity |
| Predicate | applicantMust |
P146336
|
FINISHED |
| Object | not be eligible for a 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: not be eligible for a Social Security Number | Statement: [Form W-7, applicantMust, not be eligible for a Social Security Number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicantMust Context triple: [Form W-7, applicantMust, not be eligible for a Social Security Number]
-
A.
applicantIn
Indicates that a person or entity is serving as an applicant within a particular context, process, or organization.
-
B.
appointmentRequirement
Indicates that a particular action, service, or interaction can only occur if an appointment has been scheduled or a specified appointment condition is met.
-
C.
applicantType
Indicates the classification or category of an applicant in relation to an application or selection process.
-
D.
applicant
Indicates that an entity plays the role of a person or organization formally applying for something (such as a job, program, or permit) from another entity.
-
E.
admissionRequired
Indicates that access to something is conditional on being formally admitted or granted entry beforehand.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ebf6d48190b84e7a45bbf9049c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:24 p.m.