Triple
T4539450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associate Degree for Transfer |
E107490
|
entity |
| Predicate | standingGranted |
P32451
|
FINISHED |
| Object | upper-division standing |
—
|
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: upper-division standing | Statement: [Associate Degree for Transfer, standingGranted, upper-division standing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standingGranted Context triple: [Associate Degree for Transfer, standingGranted, upper-division standing]
-
A.
statusGrantedOn
Indicates the date or time at which a particular status was officially conferred or became effective for an entity.
-
B.
grantedStatus
chosen
Indicates that an entity has been officially approved or given a particular status, permission, or privilege.
-
C.
reliefGranted
Indicates that a requested form of assistance, exemption, or remedy has been officially approved and provided.
-
D.
styleGranted
Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
-
E.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57ba327c8190a7f12e14077b1fa7 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.