Triple

T24142848
Position Surface form Disambiguated ID Type / Status
Subject National Route 211 E598290 entity
Predicate usesRoadSignSystem P142975 FINISHED
Object Japanese road signs LITERAL 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: Japanese road signs | Statement: [National Route 211, usesRoadSignSystem, Japanese road signs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesRoadSignSystem
Context triple: [National Route 211, usesRoadSignSystem, Japanese road signs]
  • A. hasRoadSignConvention chosen
    Indicates that there is an established standard or system governing the design, meaning, or usage of road signs in a given context.
  • B. hasRoadSign
    Indicates that one entity possesses, displays, or is associated with a particular road sign.
  • C. usedOnRoadSigns
    Indicates that something (such as a symbol, color, or material) is employed in the design or construction of road signs.
  • D. hasRoadNumberSystem
    Indicates that a place or region uses a specific system for assigning numbers to its roads or highways.
  • E. roadSignageIndicates
    Indicates that a piece of road signage conveys, displays, or communicates specific information, instructions, or warnings about road conditions or regulations.
  • F. None of above.

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_69e288c92e448190ac57034fa0c863ce completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e00832148190b40b904d514a286b completed April 29, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69f1765650fc8190a6bc1eb512b240bf completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 11:28 p.m.