Triple
T11053031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université Paris 1 Panthéon-Sorbonne |
E261303
|
entity |
| Predicate | affiliation |
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: [Université Paris 1 Panthéon-Sorbonne, affiliation, UNIMED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNIMED Context triple: [Université Paris 1 Panthéon-Sorbonne, affiliation, 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.
Medico International
Medico International is a humanitarian organization based in Germany that supports health and human rights projects worldwide and engages in global justice and anti-war campaigns.
-
C.
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.
-
D.
UNIS
UNIS is a Norwegian higher education and research institution located in Longyearbyen, Svalbard, specializing in Arctic studies and polar research.
-
E.
UNMH
UNMH is the primary teaching hospital of the University of New Mexico, serving as a major academic medical and trauma center for the state.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986d49e0819096c9e96b2ea1b38b |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa1c2d9c8190959e28ccef4e0f6d |
completed | April 18, 2026, 3:58 p.m. |
Created at: April 8, 2026, 9:26 p.m.