Triple
T8219178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School at Texas Tech University |
E192013
|
entity |
| Predicate | degreeLevelsCovered |
P63688
|
FINISHED |
| Object | master’s |
—
|
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: master’s | Statement: [Graduate School at Texas Tech University, degreeLevelsCovered, master’s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeLevelsCovered Context triple: [Graduate School at Texas Tech University, degreeLevelsCovered, master’s]
-
A.
typicalDegreeLevels
chosen
Indicates the usual or commonly expected academic degree levels associated with a given entity or context.
-
B.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
-
C.
taughtAtLevel
Indicates that an entity provided instruction or teaching at a specified level of education, difficulty, or proficiency.
-
D.
degreeRecognition
Indicates that an academic degree is formally acknowledged or accepted as valid by a given authority or institution.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb7772b76c8190b1952650c736eb91 |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:45 p.m.