Triple

T9606379
Position Surface form Disambiguated ID Type / Status
Subject English in Uganda E231981 entity
Predicate roleInCommunication P11418 FINISHED
Object primary language of formal communication — 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: primary language of formal communication | Statement: [English in Uganda, roleInCommunication, primary language of formal communication]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInCommunication
Context triple: [English in Uganda, roleInCommunication, primary language of formal communication]
  • A. roleInDialogue
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • B. communicationModelRole chosen
    Indicates the role an entity plays within a communication model, specifying its function or position in the communication process.
  • C. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • D. roleInAddressing
    Indicates the specific function or responsibility an entity has in dealing with or responding to a particular issue, situation, or task.
  • E. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • F. None of above.

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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
PD Predicate disambiguation batch_69ccd5a6fd2481908efd131e207b8143 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:08 p.m.