Triple

T17030305
Position Surface form Disambiguated ID Type / Status
Subject Gisbert E413175 entity
Predicate etymologicalClass P125565 FINISHED
Object Germanic given names 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: Germanic given names | Statement: [Gisbert, etymologicalClass, Germanic given names]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: etymologicalClass
Context triple: [Gisbert, etymologicalClass, Germanic given names]
  • A. etymologicalRole
    Indicates the specific function or contribution an element has within the historical origin and development of a word or term.
  • B. etymologicalForm
    Indicates that one linguistic form is derived from, or historically originates in, another form as its etymological source.
  • C. etymologicalLanguage
    Indicates the language from which a word or term is historically derived in its etymology.
  • D. etymologyType
    Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
  • E. etymologicalField
    Indicates that one term belongs to a particular semantic or conceptual domain relevant to its etymological origin or historical development.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d918ec8190b54c40c2a5e9b6b9 completed April 18, 2026, 7:04 p.m.
PD Predicate disambiguation batch_69e35d5be7f48190af9db67a1e23850f completed April 18, 2026, 10:30 a.m.
PDg Predicate description generation batch_69e3753f93c88190808fec5692f66699 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:33 a.m.