Triple

T32301813
Position Surface form Disambiguated ID Type / Status
Subject DEGS E825257 entity
Predicate representativeness P90996 FINISHED
Object representative of the adult residential population in 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: representative of the adult residential population in Germany | Statement: [DEGS, representativeness, representative of the adult residential population in Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representativeness
Context triple: [DEGS, representativeness, representative of the adult residential population in Germany]
  • A. representation
    Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
  • B. representative
    Indicates that one entity serves as an official agent or spokesperson acting on behalf of another entity.
  • C. increasedRepresentationOf
    Indicates that one entity has a higher or expanded presence, participation, or visibility of another entity compared to a previous state or context.
  • D. representationIn chosen
    Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
  • E. isRepresentiveOf
    Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf 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_69f349115304819084ee91d345b6c8aa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe8ddf70e48190a917eb9e8f7b6966 completed May 9, 2026, 1:29 a.m.
PD Predicate disambiguation batch_69fe87ef94dc81909bb00ec8d6de9bcd completed May 9, 2026, 1:03 a.m.
Created at: May 1, 2026, 12:45 a.m.