Triple

T32577678
Position Surface form Disambiguated ID Type / Status
Subject Adenauerplatz E832689 entity
Predicate hasEponymNotability P174613 FINISHED
Object first Chancellor of the Federal Republic of 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: first Chancellor of the Federal Republic of Germany | Statement: [Adenauerplatz, hasEponymNotability, first Chancellor of the Federal Republic of Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEponymNotability
Context triple: [Adenauerplatz, hasEponymNotability, first Chancellor of the Federal Republic of Germany]
  • A. hasNamesakeNotability
    Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
  • B. hasEponymCategory
    Indicates that one entity serves as the namesake or eponym for the category or class represented by the other entity.
  • C. hasEponymConnectionTo
    Indicates that one entity is named after, derived from, or otherwise linguistically or honorifically connected to another entity as its eponym.
  • D. hasEponymType
    Indicates that something is associated with or classified by a particular type of eponym (a name derived from a person).
  • E. nameTypeNotability
    Indicates that the type or category of a name is determined or influenced by the notability or prominence associated with it.
  • 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_69f349289adc81909f4374a58ec35a39 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c640c85481909bdd34f36234a438 completed May 3, 2026, 3:51 a.m.
PD Predicate disambiguation batch_69f6bd2c138481908afa3ee3e91f8900 completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c2df27ec8190912ec8eb488836d0 completed May 3, 2026, 3:37 a.m.
Created at: May 1, 2026, 1:04 a.m.