Triple
T9075462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Controlled Substances Import and Export Act |
E217471
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CSIEA |
E776675
|
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: CSIEA | Statement: [Controlled Substances Import and Export Act, hasAbbreviation, CSIEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSIEA Context triple: [Controlled Substances Import and Export Act, hasAbbreviation, CSIEA]
-
A.
CSIEA
chosen
CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
-
B.
CEI
CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
-
C.
ISCAS
ISCAS is a premier annual IEEE conference focused on research and innovation in circuits, systems, and related technologies.
-
D.
SCIAC
SCIAC is an NCAA Division III athletic conference composed of small private colleges and universities in Southern California.
-
E.
ACSIS
ACSIS is a digital autocorrelation spectrometer system used on the James Clerk Maxwell Telescope to analyze submillimetre astronomical signals with high spectral resolution.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c53274819099b3b3047bfe8cc8 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017aea1e481909f329ff451ed941c |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:12 p.m.