Triple
T19750184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Function Compute |
E474353
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | CDN events |
—
|
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: CDN events | Statement: [Function Compute, supports, CDN events]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDN events Context triple: [Function Compute, supports, CDN events]
-
A.
CDN
CDN is the ICAO airline designator formerly assigned to Canadian Airlines, a major now-defunct Canadian carrier.
-
B.
HCDN
HCDN is the commonly used abbreviation for the Chamber of Deputies, the lower house of Argentina’s National Congress.
-
C.
Alibaba Cloud CDN
chosen
Alibaba Cloud CDN is a content delivery network service that accelerates the distribution of web content globally by caching and delivering data from edge nodes closer to end users.
-
D.
Currant Events
Currant Events is a fantasy novel in Piers Anthony’s long-running Xanth series, known for its heavy use of puns and whimsical magical adventures.
-
E.
Server-Sent Events
Server-Sent Events is a web technology that enables servers to push real-time, one-way event updates to clients over a single long-lived HTTP connection.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529875688190952af476aa5be492 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.