Triple
T460242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assistant United States Attorney |
E7320
|
entity |
| Predicate | requiresLicense |
P9144
|
FINISHED |
| Object | admission to practice law before a state bar |
—
|
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: admission to practice law before a state bar | Statement: [Assistant United States Attorney, requiresLicense, admission to practice law before a state bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresLicense Context triple: [Assistant United States Attorney, requiresLicense, admission to practice law before a state bar]
-
A.
supportsLicense
Indicates that one entity is compatible with, enables, or is configured to work under a specified license.
-
B.
requiresLicenseForPractice
chosen
Indicates that engaging in the specified professional practice is legally contingent upon holding a valid license.
-
C.
licenseFor
Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
-
D.
requiresSoftware
Indicates that one entity depends on specific software being present or installed in order to function, operate, or be used.
-
E.
licenseModel
Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbd6ed481909ec40f12b5b675c8 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede75b6c81908350103d21f22a03 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.