Triple

T6118121
Position Surface form Disambiguated ID Type / Status
Subject Inhambane Province E136410 entity
Predicate languageSpoken P151 FINISHED
Object Bitonga
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
 E570267 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: Bitonga | Statement: [Inhambane Province, languageSpoken, Bitonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bitonga
Context triple: [Inhambane Province, languageSpoken, Bitonga]
  • A. Zalongo
    Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
  • B. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • C. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • D. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • E. Mutombo
    Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
  • 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: Bitonga
Triple: [Inhambane Province, languageSpoken, Bitonga]
Generated description
Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bitonga
Target entity description: Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
  • A. Zalongo
    Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
  • B. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • C. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • D. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • E. Mutombo
    Mutombo is a retired Congolese-American NBA Hall of Fame center renowned for his dominant shot-blocking, defensive prowess, and humanitarian work.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bec9b8c8190b3268b0ba952aae6 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135a5c428819090066ad785296736 completed March 23, 2026, 12:44 p.m.
NEDg Description generation batch_69c13784569c819084aea01ac3d2c5dc completed March 23, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69c137fd85cc8190ad213d3462e39d5c completed March 23, 2026, 12:54 p.m.
Created at: March 22, 2026, 4:14 p.m.