Triple

T5335364
Position Surface form Disambiguated ID Type / Status
Subject Sabaki languages E123812 entity
Predicate includeLanguage P2177 FINISHED
Object Ngare language
The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
E512924 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: Ngare language | Statement: [Sabaki languages, includeLanguage, Ngare language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngare language
Context triple: [Sabaki languages, includeLanguage, Ngare language]
  • A. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • B. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • C. Kerewe language
    The Kerewe language is a Bantu language spoken primarily by the Kerewe people on Ukerewe Island in Lake Victoria, Tanzania.
  • D. Benga language
    The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • 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: Ngare language
Triple: [Sabaki languages, includeLanguage, Ngare language]
Generated description
The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ngare language
Target entity description: The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
  • A. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • B. Karanga language
    The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
  • C. Kerewe language
    The Kerewe language is a Bantu language spoken primarily by the Kerewe people on Ukerewe Island in Lake Victoria, Tanzania.
  • D. Benga language
    The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85af799081909ee60bfbb65149ee completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18be4bb88190a2b83e51716e677e completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf194c53a48190b0895bbe9aa2f6f1 completed March 21, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69bf1a198418819089b25102733f9191 completed March 21, 2026, 10:22 p.m.
Created at: March 20, 2026, 2 p.m.