Triple
T16166361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MJ |
E392310
|
entity |
| Predicate | doesNotQualifyFor |
P50612
|
FINISHED |
| Object | bar admission in most jurisdictions |
—
|
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: bar admission in most jurisdictions | Statement: [MJ, doesNotQualifyFor, bar admission in most jurisdictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotQualifyFor Context triple: [MJ, doesNotQualifyFor, bar admission in most jurisdictions]
-
A.
nonEligibility
chosen
Indicates that an entity does not meet the required conditions or criteria to qualify for a specified status, benefit, or action.
-
B.
qualifyingFor
Indicates that one entity meets the necessary conditions or criteria to be eligible for another entity, status, or action.
-
C.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
D.
qualifiesFrom
Indicates that one entity gains an official status, capability, or eligibility as a result of successfully completing or meeting the requirements of another entity.
-
E.
doesNotGenerallyApplyTo
Indicates that a rule, property, or condition is typically not relevant or applicable to the referenced entity or situation in most cases.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb3ec4c81908d4e5c0f39a85900 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.