Triple
T20376453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniPG |
E497704
|
entity |
| Predicate | regionAcademicRole |
P139896
|
FINISHED |
| Object | major university in Umbria |
—
|
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: major university in Umbria | Statement: [UniPG, regionAcademicRole, major university in Umbria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionAcademicRole Context triple: [UniPG, regionAcademicRole, major university in Umbria]
-
A.
hasAcademicPrecinctRole
Indicates that an entity holds a specific role or position within an academic precinct or campus area.
-
B.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
C.
hasAcademicFunctionFor
Indicates that one entity performs or fulfills an academic role, duty, or function on behalf of or in relation to another entity.
-
D.
regionOfAcademicFocus
Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
-
E.
institutionAcademicProfile
Indicates that an institution is associated with a specific academic profile, such as its academic characteristics, focus areas, or scholarly attributes.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678ad74348190ac57d38eaa56beb3 |
completed | April 20, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:27 a.m.