Triple
T364785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSAS |
E7934
|
entity |
| Predicate | degreeTypeOffered |
P49
|
FINISHED |
| Object | Doctor of Philosophy (PhD) |
—
|
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: Doctor of Philosophy (PhD) | Statement: [GSAS, degreeTypeOffered, Doctor of Philosophy (PhD)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeTypeOffered Context triple: [GSAS, degreeTypeOffered, Doctor of Philosophy (PhD)]
-
A.
offersDegree
chosen
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
B.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
C.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
D.
degreeAbbreviation
Indicates that one term is the abbreviated form of an academic degree represented by the other term.
-
E.
hasDegree
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe6c1b4819083335e880c205ed6 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95dbb208190b277fc5352a4ee84 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.