Triple

T725598
Position Surface form Disambiguated ID Type / Status
Subject Khoikhoi E14718 entity
Predicate historicalExonymStatus P17110 FINISHED
Object pejorative 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: pejorative | Statement: [Khoikhoi, historicalExonymStatus, pejorative]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalExonymStatus
Context triple: [Khoikhoi, historicalExonymStatus, pejorative]
  • A. exonymStatus chosen
    Indicates the status or classification of a name used in one language to refer to a place, people, or entity known by a different name in its own language.
  • B. historicallyRecognizedAs
    Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
  • C. historicalLanguageStatus
    Indicates that a language had a particular official, social, or functional status during a past historical period.
  • D. colonialExonymSource
    Indicates that a name or term is derived from, or originates in, a colonial-era exonym imposed by an external colonial power.
  • E. hasExonym
    Indicates that one entity is known by an alternative name or designation in another language or cultural context.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64adf2c81908e48090be35dd9d9 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a4f839608190878a60eb7a044ed9 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.