Triple

T9606122
Position Surface form Disambiguated ID Type / Status
Subject Nilotic languages E231975 entity
Predicate majorLanguage P207 FINISHED
Object Shilluk language E687003 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: Shilluk language | Statement: [Nilotic languages, majorLanguage, Shilluk language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shilluk language
Context triple: [Nilotic languages, majorLanguage, Shilluk language]
  • A. Shilluk language chosen
    The Shilluk language is a Western Nilotic language spoken primarily by the Shilluk people of South Sudan along the White Nile.
  • B. Dinka language
    The Dinka language is a Western Nilotic language spoken primarily by the Dinka people of South Sudan, known for its complex system of tones and vowel lengths.
  • C. Nuer language
    Nuer language is a Western Nilotic language spoken primarily by the Nuer people of South Sudan and western Ethiopia.
  • D. Nilotic languages
    Nilotic languages are a branch of the Nilo-Saharan language family spoken primarily along the Nile Valley and surrounding regions of East and Central Africa by various pastoralist and agricultural communities.
  • E. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17939ed4c8190addfb052b762d454 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:08 p.m.