Triple

T12514974
Position Surface form Disambiguated ID Type / Status
Subject addr2line E299170 entity
Predicate relatedTo P37 FINISHED
Object gdb E9099 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: [addr2line, relatedTo, gdb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gdb
Context triple: [addr2line, relatedTo, gdb]
  • A. GNU Debugger chosen
    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.
  • B. GDB
    GDB is a German vehicle registration code assigned to the district of Nordwestmecklenburg in the state of Mecklenburg-Vorpommern.
  • C. GDB
    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.
  • D. gdbserver
    gdbserver is a lightweight program that allows the GNU Debugger (GDB) to remotely debug applications running on another machine or embedded device using the GDB remote serial protocol.
  • E. LLDB
    LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.