Triple
T6790726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magento Community Edition |
E155922
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | PHP-FPM |
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: PHP-FPM | Statement: [Magento Community Edition, supports, PHP-FPM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PHP-FPM Context triple: [Magento Community Edition, supports, PHP-FPM]
-
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.
PHP
PHP is the three-letter ISO 4217 currency code for the Philippine peso, the official monetary unit of the Philippines.
-
C.
PHP
PHP is a widely used open-source server-side scripting language especially suited for web development and powering dynamic websites and applications.
-
D.
HHVM
HHVM is an open-source virtual machine developed by Meta (Facebook) that executes Hack and PHP code using just-in-time (JIT) compilation for high performance.
-
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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8c445c8190abea97a04d648f52 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.