Triple
T6097519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AeroCaribbean |
E135913
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | CRN |
E135914
|
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: CRN | Statement: [AeroCaribbean, ICAOCode, CRN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRN Context triple: [AeroCaribbean, ICAOCode, CRN]
-
A.
CRN
chosen
CRN is the ICAO airline designator assigned to the Cuban regional carrier AeroCaribbean.
-
B.
RCN
RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
-
C.
RCN
RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
-
D.
CNA
CNA is a major South African media and retail company historically known for its nationwide chain of bookstores and newsstands.
-
E.
CNR
CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a987ce081908cbe22940f31ee2f |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254365708190b8feb95dfb2b730d |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.