Triple

T12514673
Position Surface form Disambiguated ID Type / Status
Subject GNU As E299165 entity
Predicate abbreviation P43 FINISHED
Object GAS E284603 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: GAS | Statement: [GNU As, abbreviation, GAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAS
Context triple: [GNU As, abbreviation, GAS]
  • A. GAS chosen
    GAS (GNU Assembler) is the assembler component of the GNU toolchain, used to translate assembly language code into machine code for various computer architectures.
  • B. Gaz
    Gaz is the down-on-his-luck former steelworker who leads a group of unemployed men to form a striptease act in the British comedy film "The Full Monty."
  • C. Gaz
    Gaz is a skilled and loyal special forces operative in the Call of Duty: Modern Warfare series, serving as one of Captain Price’s most trusted teammates.
  • D. De Gas
    De Gas is the family name of the French artist Auguste De Gas, associated with the lineage of the renowned painter Edgar Degas.
  • E. Gas
    "Gas" is a painting by Belgian contemporary artist Luc Tuymans, known for its muted palette and unsettling atmosphere that reflects his interest in memory, history, and the lingering traces of violence.
  • 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.