Triple
T12974829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FastCGI |
E321496
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FastCGI |
E321496
|
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: FastCGI | Statement: [FastCGI, abbreviation, FastCGI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FastCGI Context triple: [FastCGI, abbreviation, FastCGI]
-
A.
FastCGI
chosen
FastCGI is a high-performance protocol for interfacing interactive programs with web servers, designed to improve efficiency and scalability over traditional CGI.
-
B.
lighttpd
lighttpd is a lightweight, high-performance open-source web server optimized for speed-critical and resource-constrained environments.
-
C.
Apache
The Apache are a group of culturally related Native American peoples of the Southwestern United States, known for their distinct languages, nomadic traditions, and resistance to colonial expansion.
-
D.
Fastify
Fastify is a high-performance, low-overhead web framework for Node.js designed for building fast and scalable HTTP APIs.
-
E.
LAMP stack
The LAMP stack is a popular open-source web development platform consisting of Linux, Apache, MySQL, and PHP (or Perl/Python) used to build and deploy dynamic websites and applications.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e4322c08190abd43daadf16097f |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:37 p.m.