Triple

T1413284
Position Surface form Disambiguated ID Type / Status
Subject Guinea-Bissau E31850 entity
Predicate primaryEthnicGroups P194 FINISHED
Object Manjaco E151358 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: Manjaco | Statement: [Guinea-Bissau, primaryEthnicGroups, Manjaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manjaco
Context triple: [Guinea-Bissau, primaryEthnicGroups, Manjaco]
  • A. Manjaco chosen
    The Manjaco are an ethnic group of West Africa, primarily living in Guinea-Bissau, known for their rice cultivation, coastal settlements, and distinct language and cultural traditions.
  • B. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • C. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Chaguanas
    Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c48ff58c8190aeaf09d3e7cad7c7 completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015a52a88190933e7337067e5364 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.