Triple
T33314275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Università del Piemonte Orientale |
E852970
|
entity |
| Predicate | campusIn |
P5417
|
FINISHED |
| Object | Vercelli |
—
|
NE NERFINISHED |
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: Vercelli | Statement: [Università del Piemonte Orientale, campusIn, Vercelli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusIn Context triple: [Università del Piemonte Orientale, campusIn, Vercelli]
-
A.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
B.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
C.
campusFocus
Indicates that something (such as a program, initiative, or activity) is specifically oriented toward or centered on a particular campus.
-
D.
cityCampus
chosen
Indicates that a campus is located within or associated with a particular city.
-
E.
campusSystem
Indicates a relationship where an educational institution is part of, managed by, or operates within a particular campus system or network.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:33 a.m.