Triple

T27281029
Position Surface form Disambiguated ID Type / Status
Subject Paraguayan Spanish E688330 entity
Predicate typicalSpeakersAre P200700 FINISHED
Object bilingual in Spanish and Guaraní 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: bilingual in Spanish and Guaraní | Statement: [Paraguayan Spanish, typicalSpeakersAre, bilingual in Spanish and Guaraní]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalSpeakersAre
Context triple: [Paraguayan Spanish, typicalSpeakersAre, bilingual in Spanish and Guaraní]
  • A. typicalSpeaker
    Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
  • B. speakers
    Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
  • C. traditionalSpeakers
    Indicates that the subject speaks a language in its traditional or heritage form, typically as part of a longstanding cultural or community practice.
  • D. primarySpeakers
    Indicates the entities that are the main or most significant speakers associated with another entity (such as an event, recording, or language).
  • E. typicalPresenters
    Indicates that certain entities are the usual or standard presenters associated with a given event, program, or context.
  • 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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69ffa5f31c8881908c26e2aa52df6ece completed May 9, 2026, 9:24 p.m.
PD Predicate disambiguation batch_69ffa42aee408190ad1a5f285688b338 completed May 9, 2026, 9:16 p.m.
PDg Predicate description generation batch_69ffa5f236288190bdad97a41aca3cd8 completed May 9, 2026, 9:24 p.m.
Created at: April 27, 2026, 11:07 a.m.