Triple

T26377750
Position Surface form Disambiguated ID Type / Status
Subject REM (Road Experience Management) E660944 entity
Predicate localizationRole P68692 FINISHED
Object provides reference maps for vehicle localization 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: provides reference maps for vehicle localization | Statement: [REM (Road Experience Management), localizationRole, provides reference maps for vehicle localization]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: localizationRole
Context triple: [REM (Road Experience Management), localizationRole, provides reference maps for vehicle localization]
  • A. localization
    Indicates the spatial or contextual placement of one entity relative to another or within a specific environment.
  • B. localizationBy
    Indicates a relationship where one entity determines, specifies, or constrains the spatial or contextual location of another entity.
  • C. languageOfLocalization
    Indicates the language into which something (such as software, content, or an interface) has been localized for use or display.
  • D. locale
    Indicates that one entity is the place, setting, or geographic area in which another entity exists, occurs, or is situated.
  • E. localizationSignal chosen
    Indicates that one entity provides or serves as a signal that directs the localization or spatial positioning of another entity.
  • 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_69ee812a698881908d6a58265995fa39 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 26, 2026, 11:02 p.m.