Triple

T14394690
Position Surface form Disambiguated ID Type / Status
Subject CLion E356923 entity
Predicate supportsDebugger P203 FINISHED
Object GDB E59979 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: GDB | Statement: [CLion, supportsDebugger, GDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GDB
Context triple: [CLion, supportsDebugger, GDB]
  • A. GDB chosen
    GDB is a powerful open-source debugger from the GNU Project used to analyze and control the execution of programs written in languages like C, C++, and Fortran.
  • B. GDB
    GDB is a German vehicle registration code assigned to the district of Nordwestmecklenburg in the state of Mecklenburg-Vorpommern.
  • C. GNU Debugger
    GNU Debugger (GDB) is a widely used free and open-source debugging tool for programs written in languages like C, C++, and Fortran, allowing developers to inspect and control program execution.
  • D. GDK
    GDK is the low-level drawing and windowing system library that underpins GTK, providing an abstraction layer over the underlying graphical system.
  • E. DBG
    DBG is the Indian Railways station code for Darbhanga Junction, a major railway station in the city of Darbhanga in Bihar, India.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.