Triple

T9900416
Position Surface form Disambiguated ID Type / Status
Subject GitLab E182266 entity
Predicate programmingLanguage P1592 FINISHED
Object Ruby E17647 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: Ruby | Statement: [GitLab, programmingLanguage, Ruby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby
Context triple: [GitLab, programmingLanguage, Ruby]
  • A. Ruby
    Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
  • B. Ruby
    Ruby is a translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
  • C. Ruby chosen
    Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
  • D. Ruby
    Ruby is a feminine given name derived from the precious red gemstone, often associated with vitality, love, and elegance.
  • E. Ruby
    Ruby is a central character in August Wilson’s play "King Hedley II," depicted as a complex, resilient woman whose past choices and strained family relationships drive much of the drama’s emotional conflict.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e0705c8190bd17e36aff615cdd completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2125208190b4cf549d67d1ca42 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.