Triple
T20255937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor of Engineering |
E498700
|
entity |
| Predicate | isResearchDoctorate |
P93061
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Doctor of Engineering, isResearchDoctorate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isResearchDoctorate Context triple: [Doctor of Engineering, isResearchDoctorate, true]
-
A.
hasDoctoralTraining
Indicates that one entity has received doctoral-level academic or professional training, typically under the supervision or within the program of another entity.
-
B.
isResearchOriented
chosen
Indicates that an entity is primarily focused on conducting, supporting, or advancing research activities.
-
C.
isResearchUniversity
Indicates that an institution functions primarily as a research-focused university, emphasizing the creation of new knowledge alongside advanced education.
-
D.
hasDoctoralProgram
Indicates that an institution or academic unit offers and administers a doctoral-level degree program.
-
E.
supervisedDoctoralResearchOf
Indicates that one entity served as the doctoral research supervisor of another entity.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673ab60388190be32cc69bf2b6f76 |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.