Triple
T19387698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar Community College |
E484977
|
entity |
| Predicate | credentialTypeOffered |
P6396
|
FINISHED |
| Object | academic certificates |
—
|
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: academic certificates | Statement: [Lamar Community College, credentialTypeOffered, academic certificates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: credentialTypeOffered Context triple: [Lamar Community College, credentialTypeOffered, academic certificates]
-
A.
credentialType
chosen
Indicates the specific kind or category of credential associated with an entity or relationship.
-
B.
credentialOffered
Indicates that one party presents or makes available a credential to another party for potential acceptance or use.
-
C.
identificationType
Indicates the specific kind or category of identification associated with an entity or relationship.
-
D.
typeOfIdentity
Indicates the specific category or nature of identity that characterizes or defines an entity within a given context.
-
E.
entryLevelCredential
Indicates that a credential qualifies someone for initial or beginner-level entry into a field, role, or program.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b418f148190972b7b46038bc744 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.