Triple
T6654884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Southern Mississippi |
E150914
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | USM |
E608639
|
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: USM | Statement: [University of Southern Mississippi, abbreviation, USM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USM Context triple: [University of Southern Mississippi, abbreviation, USM]
-
A.
USM
USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
-
B.
USM
USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
-
C.
USM
chosen
USM is a public research university located in Hattiesburg, Mississippi, known for its programs in the arts, sciences, and education.
-
D.
USM
USM is the commonly used abbreviation for the Federico Santa María Technical University, a prominent Chilean institution known for its strong engineering and science programs.
-
E.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b049958c8190bb3ef0d4c281825b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79817f08190a9e499f09b25e67a |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:01 p.m.