Triple

T543064
Position Surface form Disambiguated ID Type / Status
Subject Nilsen E12672 entity
Predicate hasEtymologicalRelation P5801 FINISHED
Object Nelson E1145 NE FINISHED

How this triple was built (3 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: Nelson | Statement: [Nilsen, hasEtymologicalRelation, Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelson
Context triple: [Nilsen, hasEtymologicalRelation, Nelson]
  • A. Nelson
    Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
  • B. Nelson chosen
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • C. Gilbert
    Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
  • D. FitzRoy
    FitzRoy is a prominent English aristocratic family name historically associated with illegitimate royal descent and borne by several notable dukes and politicians.
  • E. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEtymologicalRelation
Context triple: [Nilsen, hasEtymologicalRelation, Nelson]
  • A. etymologyStatus
    Indicates the status or reliability classification of an etymological explanation for a term or name.
  • B. etymologicalLanguage
    Indicates the language from which a word or term is historically derived in its etymology.
  • C. etymologicalSource chosen
    Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
  • D. etymologicalForm
    Indicates that one linguistic form is derived from, or historically originates in, another form as its etymological source.
  • E. linguisticallyRelatedTo
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • F. None of above.

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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4986250508190ac91cfdf7d57073d completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4d042a590819096ed622dc6bcf8e4 completed March 1, 2026, 11:48 p.m.
PD Predicate disambiguation batch_69a494b8098481908097228db8ad0262 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.