Triple

T2629500
Position Surface form Disambiguated ID Type / Status
Subject GNAT E59598 entity
Predicate maintainedBy P86 FINISHED
Object AdaCore E284613 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: AdaCore | Statement: [GNAT, maintainedBy, AdaCore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AdaCore
Context triple: [GNAT, maintainedBy, AdaCore]
  • A. AdaCore chosen
    AdaCore is a software company specializing in high-integrity, safety- and security-critical development tools and compilers for the Ada programming language.
  • B. gnat
    GNAT is a free, open-source Ada compiler and toolchain that is part of the GNU Compiler Collection (GCC).
  • C. Embarcadero
    Embarcadero is a historic waterfront district in San Francisco known for its piers, ferry terminal, and scenic promenade along the bay.
  • D. Embarcadero Technologies
    Embarcadero Technologies is a software company best known for developing database tools and the Delphi rapid application development environment for Windows and cross-platform applications.
  • E. GNATmake
    GNATmake is the GNAT Ada compiler’s build tool that automatically manages multi-file project compilation and dependency tracking.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c452508190b02e1630d725497a completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa04cf4e08190938687bfeb0ae353 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:50 p.m.