Triple

T3110527
Position Surface form Disambiguated ID Type / Status
Subject Vosges Mountains E64937 entity
Predicate historicalFrontier P46001 FINISHED
Object border between France and Germany 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: border between France and Germany | Statement: [Vosges Mountains, historicalFrontier, border between France and Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalFrontier
Context triple: [Vosges Mountains, historicalFrontier, border between France and Germany]
  • A. historicalExploration
    Indicates that an entity has engaged in or is associated with the act of exploring or investigating something in the past.
  • B. historicalFocus
    Indicates that something is primarily concerned with, centered on, or devoted to a particular historical period, event, or theme.
  • C. historicalBackground
    Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
  • D. ethnicHistory
    Indicates a relationship where one entity documents, describes, or is associated with the historical development, experiences, or heritage of an ethnic group.
  • E. historicalCategory
    Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
  • F. None of above. chosen

Provenance (4 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada437c5e08190af22f6fa11cf9252 completed March 8, 2026, 4:30 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f6fef48190b13898be383a246b completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:04 p.m.