Triple

T8756282
Position Surface form Disambiguated ID Type / Status
Subject Protocol Buffers E208079 entity
Predicate supportsLanguage P2177 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: [Protocol Buffers, supportsLanguage, PHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PHP
Context triple: [Protocol Buffers, supportsLanguage, 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. ASP
    ASP is a networking protocol used in Apple’s classic AppleTalk architecture to manage and maintain communication sessions between client and server 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd95e9481909cc88e8d91601754 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4338c0f88190a1e3f7ef164b6c6d completed April 3, 2026, 4:34 a.m.
Created at: March 30, 2026, 6:40 p.m.