Triple
T18528430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PHP command-line interface |
E452775
|
entity |
| Predicate | differsFrom |
P278
|
FINISHED |
| Object | PHP CGI SAPI |
—
|
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: PHP CGI SAPI | Statement: [PHP command-line interface, differsFrom, PHP CGI SAPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PHP CGI SAPI Context triple: [PHP command-line interface, differsFrom, PHP CGI SAPI]
-
A.
FastCGI
FastCGI is a high-performance protocol for interfacing interactive programs with web servers, designed to improve efficiency and scalability over traditional CGI.
-
B.
CGIHandler class
The CGIHandler class is a WSGI-compatible request handler in Python’s wsgiref.handlers module that runs WSGI applications in a traditional CGI environment.
-
C.
mod_php
mod_php is an Apache HTTP Server module that embeds the PHP interpreter directly into the web server to execute PHP scripts efficiently.
-
D.
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.
-
E.
CGI
CGI is a high-contrast Coronagraph Instrument designed to directly image and study exoplanets and circumstellar disks by blocking out starlight.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fad2d081908395914d6a6b4eb1 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.