Triple

T12111002
Position Surface form Disambiguated ID Type / Status
Subject Ogoni languages E288428 entity
Predicate hasPart P35 FINISHED
Object Tee language
Tee language is a Niger-Congo language spoken by the Ogoni people of Nigeria as one of the distinct Ogoni languages.
 E966138 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: Tee language | Statement: [Ogoni languages, hasPart, Tee language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tee language
Context triple: [Ogoni languages, hasPart, Tee language]
  • A. Temein languages
    The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
  • B. Tae’ language
    The Tae’ language is an Austronesian language spoken by the Tae’ ethnic group in South Sulawesi, Indonesia.
  • C. Teda language
    The Teda language is a Saharan language spoken primarily by the Teda (northern Toubou) people of the Tibesti region in Chad and southern Libya.
  • D. Temiar language
    The Temiar language is an Austroasiatic Aslian language spoken by the Temiar people of Peninsular Malaysia, known for its complex phonology and rich oral tradition.
  • E. Terik language
    The Terik language is a Southern Nilotic language spoken by the Terik people of western Kenya, closely associated with neighboring Kalenjin groups such as the Kipsigis.
  • 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: Tee language
Triple: [Ogoni languages, hasPart, Tee language]
Generated description
Tee language is a Niger-Congo language spoken by the Ogoni people of Nigeria as one of the distinct Ogoni languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tee language
Target entity description: Tee language is a Niger-Congo language spoken by the Ogoni people of Nigeria as one of the distinct Ogoni languages.
  • A. Temein languages
    The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
  • B. Tae’ language
    The Tae’ language is an Austronesian language spoken by the Tae’ ethnic group in South Sulawesi, Indonesia.
  • C. Teda language
    The Teda language is a Saharan language spoken primarily by the Teda (northern Toubou) people of the Tibesti region in Chad and southern Libya.
  • D. Temiar language
    The Temiar language is an Austroasiatic Aslian language spoken by the Temiar people of Peninsular Malaysia, known for its complex phonology and rich oral tradition.
  • E. Terik language
    The Terik language is a Southern Nilotic language spoken by the Terik people of western Kenya, closely associated with neighboring Kalenjin groups such as the Kipsigis.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67d58d08190be45fb49f0084b49 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b6769481909d0308c8f77b2ef3 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ef0a9c8190ac922562a8856def completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.