Triple
T23372314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FREng |
E593506
|
entity |
| Predicate | comparableTo |
P278
|
FINISHED |
| Object | FMedSci |
—
|
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: FMedSci | Statement: [FREng, comparableTo, FMedSci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMedSci Context triple: [FREng, comparableTo, FMedSci]
-
A.
FMedSci
chosen
FMedSci is the post-nominal title for Fellows of the Academy of Medical Sciences in the United Kingdom, recognizing significant contributions to medical science.
-
B.
SciMed
SciMed is the official abbreviation for the Faculty of Science and Medicine at the University of Fribourg, a multidisciplinary faculty combining scientific and medical education and research.
-
C.
Science (journal)
Science is a leading peer‑reviewed academic journal that publishes cutting-edge research across all scientific disciplines.
-
D.
Minerva Medica
Minerva Medica is a healing aspect of the Roman goddess Minerva, venerated particularly in connection with medicinal and therapeutic functions.
-
E.
Medscape
Medscape is a leading online platform that provides medical news, clinical information, and educational resources for healthcare professionals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:32 p.m.