Triple

T2579427
Position Surface form Disambiguated ID Type / Status
Subject Oahu E57052 entity
Predicate hasEtymologyOfNickname P9593 FINISHED
Object refers to role as meeting and population center 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: refers to role as meeting and population center | Statement: [Oahu, hasEtymologyOfNickname, refers to role as meeting and population center]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEtymologyOfNickname
Context triple: [Oahu, hasEtymologyOfNickname, refers to role as meeting and population center]
  • A. hasTitleEtymology
    Indicates that the origin or derivation of a title is based on, or explained by, another term, name, or linguistic source.
  • B. popularEtymology
    Indicates that an etymological explanation is based on common belief or folk interpretation rather than on historically or linguistically accurate origins.
  • C. etymologyType
    Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
  • D. reasonForEpithet chosen
    Indicates the cause, motivation, or circumstance that explains why a particular epithet is applied to an entity.
  • E. etymologyStatus
    Indicates the status or reliability classification of an etymological explanation for a term or name.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a9fd3c8190a521931e40cd801c completed March 7, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69abd0cfeae08190aed03866ba071c5c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.