Triple

T222960
Position Surface form Disambiguated ID Type / Status
Subject Sranan Tongo E4255 entity
Predicate usedAsContactLanguageBetween P8345 FINISHED
Object different ethnic groups in Suriname 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: different ethnic groups in Suriname | Statement: [Sranan Tongo, usedAsContactLanguageBetween, different ethnic groups in Suriname]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsContactLanguageBetween
Context triple: [Sranan Tongo, usedAsContactLanguageBetween, different ethnic groups in Suriname]
  • A. usedInLanguage
    Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
  • B. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • C. isScheduledLanguageOf
    Indicates that a particular language is officially planned or designated to be used for a specific event, program, or context.
  • D. areMutuallyIntelligibleToSomeDegree
    Indicates that two or more languages or communication systems can be at least partially understood by each other’s users without prior learning or translation.
  • E. isBilingual
    Indicates that an entity is able to communicate fluently in two distinct languages.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c705fd88190bfee7f5e1f7cee17 completed Feb. 28, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69a25b5617788190814358aee3f7ae37 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25c2bda788190bcfc0bc94686f9e0 completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.