Triple

T939057
Position Surface form Disambiguated ID Type / Status
Subject Sopwith Triplane E20262 entity
Predicate typicalEngineModel P2092 FINISHED
Object Clerget 9B E105709 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: Clerget 9B | Statement: [Sopwith Triplane, typicalEngineModel, Clerget 9B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clerget 9B
Context triple: [Sopwith Triplane, typicalEngineModel, Clerget 9B]
  • A. Clerget 9B chosen
    The Clerget 9B is a World War I-era French nine-cylinder rotary aircraft engine widely used in British fighter planes.
  • B. Autavia
    Autavia is a line of high-performance sports chronographs and watches by TAG Heuer, originally designed for automotive and aviation use.
  • C. Richelieu Wing
    The Richelieu Wing is a major section of the Louvre Museum that houses collections such as French sculpture, decorative arts, and Near Eastern antiquities in a historic palace setting.
  • D. Renault–Gitane
    Renault–Gitane was a dominant French professional cycling team of the late 1970s and early 1980s, known for nurturing multiple Grand Tour champions and pioneering modern team tactics.
  • E. Krauss-Maffei Wegmann
    Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b38a3ad4819080d71849e822a12a completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e0dd188190bf5776a6e4525fdd completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.