Triple
T17923050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CARL |
E448119
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CARL |
—
|
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: CARL | Statement: [CARL, abbreviation, CARL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CARL Context triple: [CARL, abbreviation, CARL]
-
A.
CARL
CARL is an organization or research group associated with York University, likely focused on a specialized academic or scientific domain.
-
B.
CARL
chosen
CARL is the national organization representing Canada’s major research libraries, promoting access to scholarly information and supporting research and higher education.
-
C.
Carls
Carls is a German surname most notably associated with Rolf Carls, a high-ranking naval officer in the Kriegsmarine during World War II.
-
D.
Carcass
Carcass is a pioneering British extreme metal band known for helping to shape both grindcore and melodic death metal through their technical musicianship and distinctive, often gore-themed lyrics.
-
E.
Carr
Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30bde508190bc529ccae81f0e2a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.