Triple
T1893617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE Transactions on Circuits and Systems for Video Technology |
E41927
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TCSVT |
E41927
|
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: TCSVT | Statement: [IEEE Transactions on Circuits and Systems for Video Technology, abbreviation, TCSVT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCSVT Context triple: [IEEE Transactions on Circuits and Systems for Video Technology, abbreviation, TCSVT]
-
A.
TCSVT
chosen
TCSVT is a leading IEEE journal that publishes research on circuits, systems, and technologies for video and multimedia processing.
-
B.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
C.
TCC
TCC is the abbreviated name for the Technical Cooperation Committee, a body typically responsible for overseeing and guiding international technical assistance and capacity-building activities.
-
D.
TCC
TCC is the commonly used abbreviation for the Tax Court of Canada, a federal court that specializes in resolving tax-related disputes between taxpayers and the Canadian government.
-
E.
SVC
SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1497df08190ad90dd89f76208ca |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf6aba788190bb30420375b5db7f |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.