Triple
T14750268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UniPV |
E346582
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | UNIPV |
E346582
|
NE 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: UNIPV | Statement: [UniPV, hasAbbreviation, UNIPV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNIPV Context triple: [UniPV, hasAbbreviation, UNIPV]
-
A.
UniPV
chosen
UniPV is the commonly used abbreviation for the University of Pavia, one of Italy’s oldest and most prestigious universities.
-
B.
UPVD
UPVD is the commonly used acronym for the University of Perpignan Via Domitia, a French public university located in Perpignan.
-
C.
UNICT
UNICT is the commonly used acronym for the University of Catania, a major public university located in Catania, Sicily, Italy.
-
D.
UNIS
UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
-
E.
IUP
IUP is a public research university in Indiana, Pennsylvania, known for its diverse undergraduate and graduate programs and regional academic influence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d2e1748190b16ede681fe52872 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9a56a08190b6a178cd930a072d |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.