Triple
T22330662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 333 |
E552012
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | CGI |
—
|
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: CGI | Statement: [PEP 333, relatedTo, CGI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGI Context triple: [PEP 333, relatedTo, CGI]
-
A.
CGI
chosen
CGI is a standard protocol that enables web servers to execute external programs and dynamically generate web content in response to user requests.
-
B.
CGI
CGI is a high-contrast Coronagraph Instrument designed to directly image and study exoplanets and circumstellar disks by blocking out starlight.
-
C.
CGI
CGI (computer-generated imagery) is the creation of still or animated visual content using computer software, widely used in film, television, video games, and advertising for visual effects and digital environments.
-
D.
Cg
Cg is a high-level shading language developed by NVIDIA for programming graphics processing units, similar in design and purpose to HLSL.
-
E.
CGA
CGA is the abbreviated name commonly used for Taiwan’s Coast Guard Administration, the maritime law enforcement and search-and-rescue agency.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577a9c348190b8662142afa832be |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.