Triple

T921022
Position Surface form Disambiguated ID Type / Status
Subject WordPress E19882 entity
Predicate writtenIn P12727 FINISHED
Object PHP E22482 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 | Statement: [WordPress, writtenIn, PHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PHP
Context triple: [WordPress, writtenIn, PHP]
  • A. PHP
    PHP is the three-letter ISO 4217 currency code for the Philippine peso, the official monetary unit of the Philippines.
  • B. PHP chosen
    PHP is a widely used open-source server-side scripting language especially suited for web development and powering dynamic websites and applications.
  • C. ASP
    ASP is the commonly used abbreviation for the Assembly of States Parties, the management oversight and legislative body of the International Criminal Court composed of representatives from member countries.
  • D. Perl
    Perl is a high-level, general-purpose programming language known for its powerful text-processing capabilities and use in system administration, web development, and scripting.
  • E. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3120dbc81908362158fe3ffa889 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d8f9408190aa286bb809507797 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.