Triple

T2629205
Position Surface form Disambiguated ID Type / Status
Subject GNU toolchain E59593 entity
Predicate includes P1393 FINISHED
Object GAS
GAS (GNU Assembler) is the assembler component of the GNU toolchain, used to translate assembly language code into machine code for various computer architectures.
 E284603 NE FINISHED

How this triple was built (4 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: GAS | Statement: [GNU toolchain, includes, GAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GAS
Context triple: [GNU toolchain, includes, GAS]
  • A. Gas
    "Gas" is a 1940 painting by American realist artist Edward Hopper depicting a solitary gas station at dusk, emblematic of his themes of isolation and the quiet tension of modern American life.
  • B. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • C. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • D. GIN
    GIN is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Guinea.
  • E. GAC
    The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GAS
Triple: [GNU toolchain, includes, GAS]
Generated description
GAS (GNU Assembler) is the assembler component of the GNU toolchain, used to translate assembly language code into machine code for various computer architectures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GAS
Target entity description: GAS (GNU Assembler) is the assembler component of the GNU toolchain, used to translate assembly language code into machine code for various computer architectures.
  • A. Gas
    "Gas" is a 1940 painting by American realist artist Edward Hopper depicting a solitary gas station at dusk, emblematic of his themes of isolation and the quiet tension of modern American life.
  • B. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • C. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • D. GIN
    GIN is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Guinea.
  • E. GAC
    The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
  • F. None of above. chosen

Provenance (5 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_69af90a44a348190b8b49b37418dd94b completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af9172ba248190bbc68a00b43d9b44 completed March 10, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69af92500920819082c651f75a06dd72 completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:50 p.m.