Triple
T9667023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central New Mexico Community College |
E233731
|
entity |
| Predicate | nonDegreeOfferings |
P25827
|
FINISHED |
| Object | professional 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: professional certificates | Statement: [Central New Mexico Community College, nonDegreeOfferings, professional certificates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonDegreeOfferings Context triple: [Central New Mexico Community College, nonDegreeOfferings, professional certificates]
-
A.
nonDegreeGranting
Indicates that the institution or program does not confer formal academic degrees.
-
B.
offersContinuingEducation
chosen
Indicates that an entity provides ongoing educational or professional development opportunities to another entity.
-
C.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
D.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
E.
offersDegree
Indicates that an institution or program provides a specific academic degree as an available qualification.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3a63948190be3f48f87bdbccf1 |
completed | April 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.