Triple

T18529558
Position Surface form Disambiguated ID Type / Status
Subject Lumen E452798 entity
Predicate runtimeEnvironment P9320 FINISHED
Object PHP-FPM 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-FPM | Statement: [Lumen, runtimeEnvironment, PHP-FPM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PHP-FPM
Context triple: [Lumen, runtimeEnvironment, 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. FPM
    FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
  • E. 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.
  • 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_69e533fb940c81909d4ad9fc37f47829 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.