Triple
T3054870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Milan |
E60455
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | UNIMED |
E101713
|
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: UNIMED | Statement: [University of Milan, memberOf, UNIMED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNIMED Context triple: [University of Milan, memberOf, UNIMED]
-
A.
UNIMED
chosen
UNIMED is a Mediterranean university association that promotes academic cooperation, research collaboration, and cultural exchange among higher education institutions across the Mediterranean region.
-
B.
Libyan International Medical University
Libyan International Medical University is a private medical and health sciences university located in Benghazi, Libya, offering undergraduate and postgraduate programs in fields such as medicine, dentistry, and pharmacy.
-
C.
Centro Médico
Centro Médico is a major Mexico City Metro transfer station and transit hub serving both Line 3 and Line 9 near the National Medical Center.
-
D.
UNISWA
UNISWA is the commonly used acronym for the University of Swaziland, the national public university of Eswatini.
-
E.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf6b9948190bc957bfd1579c471 |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef03425c8190a44486ab563c210f |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.