Triple

T4555270
Position Surface form Disambiguated ID Type / Status
Subject Laravel E120464 entity
Predicate programmingLanguage P1592 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: [Laravel, programmingLanguage, PHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PHP
Context triple: [Laravel, programmingLanguage, 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. ASP
    ASP is the commonly used abbreviation for the Astronomical Society of the Pacific, a scientific and educational organization dedicated to advancing astronomy and science literacy.
  • E. PDO
    PDO refers to the Pacific Decadal Oscillation, a long-term pattern of climate variability in the Pacific Ocean that influences global weather and climate conditions over multi-decade timescales.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5813af948190b10b02dadf6496bf completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43897d5c8190a4119f1c90d0318b completed March 21, 2026, 7:06 a.m.
Created at: March 20, 2026, 1:09 p.m.