Triple

T20921263
Position Surface form Disambiguated ID Type / Status
Subject N scale E515213 entity
Predicate alsoKnownAs P39 FINISHED
Object N gauge NE NERFINISHED

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: N gauge | Statement: [N scale, alsoKnownAs, N gauge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N gauge
Context triple: [N scale, alsoKnownAs, N gauge]
  • A. N scale chosen
    N scale is a popular model railway scale characterized by its small size (typically 1:160), allowing extensive layouts in relatively limited space.
  • B. K Track
    K Track is a model railway track system by Märklin known for its realistic appearance and flexible layout options in HO scale.
  • C. Plarail
    Plarail is a long-running Japanese toy train system featuring plastic tracks and battery-powered trains, produced by Takara Tomy.
  • D. Pennsylvania trolley gauge
    The Pennsylvania trolley gauge is a non-standard, wider-than-standard track gauge historically used by many streetcar and trolley systems in Pennsylvania, notably in the Philadelphia area.
  • E. Sprague-Thomson trains
    Sprague-Thomson trains were iconic early 20th-century electric multiple units that long served as the backbone of the Paris Métro before being replaced by more modern rolling stock.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f64e56bc81908aa86f2176fcc0db completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:48 p.m.