Triple
T27552896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Alameda |
E695552
|
entity |
| Predicate | hasTypeOfCredential |
P6396
|
FINISHED |
| Object | Associate in Arts |
—
|
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: Associate in Arts | Statement: [College of Alameda, hasTypeOfCredential, Associate in Arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfCredential Context triple: [College of Alameda, hasTypeOfCredential, Associate in Arts]
-
A.
hasCredential
Indicates that an entity possesses or has been granted a specific credential, qualification, or certification.
-
B.
hasTypeCertificateFor
Indicates that an entity possesses a specific type of certificate that is issued for or applicable to another entity or subject.
-
C.
hasTypeOfCredit
Indicates that an entity is associated with or characterized by a specific type or category of credit.
-
D.
credentialType
chosen
Indicates the specific kind or category of credential associated with an entity or relationship.
-
E.
hasClaimType
Indicates that an entity is associated with or categorized under a specific type of claim.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 27, 2026, 1:35 p.m.