Triple
T16715031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSMU |
E406202
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LSMU |
E406202
|
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: LSMU | Statement: [LSMU, abbreviation, LSMU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSMU Context triple: [LSMU, abbreviation, LSMU]
-
A.
LSMU
chosen
LSMU is a leading Lithuanian university specializing in health sciences, medicine, and related biomedical fields.
-
B.
LMU MFI
LMU MFI is the Faculty of Mathematics, Informatics and Statistics at Ludwig Maximilian University of Munich, focusing on research and education in mathematical sciences, computer science, and statistics.
-
C.
IUSM
IUSM is the Indiana University School of Medicine, a major public medical school known for its extensive research programs and large network of clinical training sites across Indiana.
-
D.
USM
USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
-
E.
USM
USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38654ee4c8190abf36c29d6610a96 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091ab9e54819097e71ce1616b28b5 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.