Triple
T21003187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFN |
E517346
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | CFN |
—
|
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: CFN | Statement: [CFN, acronym, CFN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CFN Context triple: [CFN, acronym, CFN]
-
A.
CFN
chosen
CFN is a U.S. Department of Energy user facility at Brookhaven National Laboratory dedicated to research and development in nanoscience and nanotechnology.
-
B.
CFN4903
CFN4903 is the radio call sign assigned to the MS Chi-Cheemaun, a Canadian passenger and vehicle ferry operating on Lake Huron between Tobermory and South Baymouth.
-
C.
CFE
CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
-
D.
CNSF
CNSF is Mexico’s National Insurance and Bonding Commission, the government regulator overseeing the country’s insurance and surety sectors.
-
E.
CAFNR
CAFNR is the University of Missouri’s College of Agriculture, Food, and Natural Resources, focusing on education and research in agricultural sciences, food systems, and environmental stewardship.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc38b8688190860fba1b58e1b3e6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.