Triple
T4643660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNIMED |
E101713
|
entity |
| Predicate | acronym |
P43
|
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: [UNIMED, acronym, UNIMED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNIMED Context triple: [UNIMED, acronym, 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.
UNÎMES
UNÎMES is the acronym for the University of Nîmes, a French public higher education and research institution located in Nîmes, in the Occitanie region.
-
C.
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.
-
D.
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.
-
E.
UNISWA
UNISWA is the commonly used acronym for the University of Swaziland, the national public university of Eswatini.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a94486c819087ef8811dcde83b1 |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfad80f14819097e022c9d9da17eb |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.