Triple
T9515498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Gateway Interface |
E229514
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CGI
CGI is a standard protocol that enables web servers to execute external programs and dynamically generate web content in response to user requests.
|
E803464
|
NE FINISHED |
How this triple was built (4 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: [Common Gateway Interface, abbreviation, CGI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGI Context triple: [Common Gateway Interface, abbreviation, CGI]
-
A.
Cg
Cg is a high-level shading language developed by NVIDIA for programming graphics processing units, similar in design and purpose to HLSL.
-
B.
CGA
CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
-
C.
CGA
CGA is the ICAO airline designator assigned to Congo Airways, the flag carrier of the Democratic Republic of the Congo.
-
D.
.cg
.cg is the country code top-level domain (ccTLD) assigned to the Republic of the Congo for use in its internet addresses.
-
E.
GCI
GCI is the Getty Conservation Institute, a research and education organization dedicated to advancing the conservation of cultural heritage worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CGI Triple: [Common Gateway Interface, abbreviation, CGI]
Generated description
CGI is a standard protocol that enables web servers to execute external programs and dynamically generate web content in response to user requests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CGI Target entity description: CGI is a standard protocol that enables web servers to execute external programs and dynamically generate web content in response to user requests.
-
A.
Cg
Cg is a high-level shading language developed by NVIDIA for programming graphics processing units, similar in design and purpose to HLSL.
-
B.
CGA
CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
-
C.
CGA
CGA is the ICAO airline designator assigned to Congo Airways, the flag carrier of the Democratic Republic of the Congo.
-
D.
.cg
.cg is the country code top-level domain (ccTLD) assigned to the Republic of the Congo for use in its internet addresses.
-
E.
GCI
GCI is the Getty Conservation Institute, a research and education organization dedicated to advancing the conservation of cultural heritage worldwide.
- F. None of above. chosen
Provenance (5 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986d5af08190a001c5a5ff647d4d |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a44c3c08190a09277737c7a98e0 |
completed | April 4, 2026, 4:20 p.m. |
| NEDg | Description generation | batch_69d13b0590f0819088812840f7fb03c3 |
completed | April 4, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13b698f148190a14470df6ff35a43 |
completed | April 4, 2026, 4:25 p.m. |
Created at: March 30, 2026, 7:58 p.m.