Triple

T8309671
Position Surface form Disambiguated ID Type / Status
Subject Kagera Region E194558 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Zinza
The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
E729316 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: Zinza | Statement: [Kagera Region, hasEthnicGroup, Zinza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinza
Context triple: [Kagera Region, hasEthnicGroup, Zinza]
  • A. Zhilinda
    Zhilinda is a small rural settlement located along the Olenyok River in the remote northern region of Siberia, Russia.
  • B. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • C. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • D. Zamdela
    Zamdela is a township suburb of Sasolburg in South Africa, primarily serving as a residential area for workers in the nearby industrial and petrochemical complexes.
  • E. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • 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: Zinza
Triple: [Kagera Region, hasEthnicGroup, Zinza]
Generated description
The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zinza
Target entity description: The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
  • A. Zhilinda
    Zhilinda is a small rural settlement located along the Olenyok River in the remote northern region of Siberia, Russia.
  • B. Zumwa
    Zumwa is the Gbagyi-language name for Zuma Rock, the iconic monolithic inselberg near Abuja, Nigeria.
  • C. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • D. Zamdela
    Zamdela is a township suburb of Sasolburg in South Africa, primarily serving as a residential area for workers in the nearby industrial and petrochemical complexes.
  • E. Kwaluudhi
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde77d43cc8190ad18e932d9230e5c completed April 2, 2026, 3:50 a.m.
NEDg Description generation batch_69cdeb1fa7308190810b1fcc2184374a completed April 2, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_69cdec3081d88190ad0699f9072d3fc7 completed April 2, 2026, 4:10 a.m.
Created at: March 30, 2026, 5:54 p.m.