Triple

T13020174
Position Surface form Disambiguated ID Type / Status
Subject TWinControl E322649 entity
Predicate introducedBy P513 FINISHED
Object Borland Delphi E10344 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: Borland Delphi | Statement: [TWinControl, introducedBy, Borland Delphi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borland Delphi
Context triple: [TWinControl, introducedBy, Borland Delphi]
  • A. Delphi (programming language) chosen
    Delphi is an object-oriented, rapid application development programming language and environment derived from Pascal, primarily used for building native Windows applications.
  • B. Delphi
    Delphi is an ancient Greek sanctuary and archaeological site famed for the Oracle of Apollo and its central role in classical Greek religion and culture.
  • C. Delphi
    Delphi is a central antagonist in the stage play "Harry Potter and the Cursed Child," portrayed as a mysterious young witch with a powerful and dangerous connection to Voldemort.
  • D. C++Builder
    C++Builder is an integrated development environment (IDE) for building C++ applications, originally developed by Borland and known for its rapid application development tools and visual component framework.
  • E. DELPHI
    DELPHI was a major particle physics detector experiment at CERN’s Large Electron–Positron Collider that studied high-energy electron–positron collisions to test the Standard Model and search for new phenomena.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecf21bc819082fb512bc479b4be completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f861188190892b4d693395cc5e completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:51 p.m.