Triple

T303059
Position Surface form Disambiguated ID Type / Status
Subject Antillean Creole E6238 entity
Predicate alsoKnownAs P39 FINISHED
Object Kwéyòl
Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
 E39106 NE FINISHED

How this triple was built (4 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: Kwéyòl | Statement: [Antillean Creole, alsoKnownAs, Kwéyòl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kwéyòl
Context triple: [Antillean Creole, alsoKnownAs, Kwéyòl]
  • A. Kichwa
    Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
  • B. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • C. Sranan
    Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
  • D. Siwi
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • E. Wiphala
    The Wiphala is a multicolored, checkered flag representing the Indigenous peoples of the Andes and widely recognized as a symbol of Indigenous identity and plurinationalism in Bolivia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kwéyòl
Triple: [Antillean Creole, alsoKnownAs, Kwéyòl]
Generated description
Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kwéyòl
Target entity description: Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
  • A. Kichwa
    Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
  • B. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • C. Sranan
    Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
  • D. Siwi
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • E. Wiphala
    The Wiphala is a multicolored, checkered flag representing the Indigenous peoples of the Andes and widely recognized as a symbol of Indigenous identity and plurinationalism in Bolivia.
  • F. None of above. chosen

Provenance (5 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0eec708190a0af9b27bf1f016a completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b07566c88190af82b1953902b613 completed March 1, 2026, 3:20 a.m.
NEDg Description generation batch_69a3b0d63cd081908a8e1ce6e24b7a8f completed March 1, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69a3b13a9cdc81908b2f125f8ddede8f completed March 1, 2026, 3:23 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.