Triple

T1874341
Position Surface form Disambiguated ID Type / Status
Subject Kwéyòl E39106 entity
Predicate hasAlternativeName P39 FINISHED
Object Kwéyòl Kwéyòl E39106 NE 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: Kwéyòl Kwéyòl | Statement: [Kwéyòl, hasAlternativeName, Kwéyòl Kwéyòl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwéyòl Kwéyòl
Context triple: [Kwéyòl, hasAlternativeName, Kwéyòl Kwéyòl]
  • A. Kwéyòl chosen
    Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
  • B. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • C. Kedyw
    Kedyw was a special operations and sabotage unit of the Polish underground Home Army that carried out resistance actions against Nazi German occupation during World War II.
  • D. Yallahs
    Yallahs is a coastal town in southeastern Jamaica known for its proximity to Kingston and its role as a local commercial and residential center in St. Thomas Parish.
  • E. Pami Dua
    Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d7934c8190a2919efbb1e86755 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5419488190ad96110f6ac7111f completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.