Triple
T32658044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iovius |
E834917
|
entity |
| Predicate | imperialCollegeRelation |
P174774
|
FINISHED |
| Object | distinguished Diocletian from Maximian |
—
|
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: distinguished Diocletian from Maximian | Statement: [Iovius, imperialCollegeRelation, distinguished Diocletian from Maximian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imperialCollegeRelation Context triple: [Iovius, imperialCollegeRelation, distinguished Diocletian from Maximian]
-
A.
imperialCollege
Indicates that one entity is Imperial College (typically as an affiliation, location, or institutional relationship) in relation to another entity.
-
B.
seatOfUniversity
Indicates that a location serves as the official seat or main campus of a university.
-
C.
hasDoctoralDegreeFrom
Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified institution.
-
D.
relatedInstitution
Indicates that there is an institutional connection or association between two entities, such as affiliation, partnership, or organizational linkage.
-
E.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c7e32ec08190b74856937c4a9fc3 |
completed | May 3, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:08 a.m.