Triple

T18528343
Position Surface form Disambiguated ID Type / Status
Subject PHP documentation team E452774 entity
Predicate associatedWith P37 FINISHED
Object PHP project 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 project | Statement: [PHP documentation team, associatedWith, PHP project]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PHP project
Context triple: [PHP documentation team, associatedWith, PHP project]
  • A. Project for the web
    Project for the web is Microsoft’s modern, cloud-based project management tool in Microsoft 365 for planning, tracking, and collaborating on work through a simple, browser-based interface.
  • B. PHP
    PHP is the three-letter ISO 4217 currency code for the Philippine peso, the official monetary unit of the Philippines.
  • C. PHP chosen
    PHP is a widely used open-source server-side scripting language especially suited for web development and powering dynamic websites and applications.
  • D. CakePHP
    CakePHP is an open-source rapid development web framework for PHP that follows the MVC pattern and emphasizes convention over configuration to streamline building web applications.
  • E. R Project
    The R Project is an open-source programming language and software environment widely used for statistical computing, data analysis, and graphical visualization.
  • 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.