Triple
T13452818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduate School of Engineering (Doctoral Program) |
E320652
|
entity |
| Predicate | researchComponent |
P109565
|
FINISHED |
| Object | doctoral dissertation |
—
|
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: doctoral dissertation | Statement: [Graduate School of Engineering (Doctoral Program), researchComponent, doctoral dissertation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchComponent Context triple: [Graduate School of Engineering (Doctoral Program), researchComponent, doctoral dissertation]
-
A.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
-
B.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
C.
researchModel
Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
-
D.
researchContribution
Indicates that an entity has produced or participated in creating new knowledge, findings, or innovations within a research context.
-
E.
researchOutcome
Indicates that an action, study, or investigation produces a specific result, finding, or conclusion.
- F. None of above. chosen
Provenance (4 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.