Triple

T12256834
Position Surface form Disambiguated ID Type / Status
Subject Nyanya bombings E292124 entity
Predicate locatedIn P40 FINISHED
Object Nyanya
Nyanya is a suburban district on the outskirts of Abuja, Nigeria’s capital, known for its busy transport hub and residential communities.
 E972852 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: Nyanya | Statement: [Nyanya bombings, locatedIn, Nyanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nyanya
Context triple: [Nyanya bombings, locatedIn, Nyanya]
  • A. Anyanya
    Anyanya was a southern Sudanese separatist rebel movement that fought for independence from the northern-dominated government during the First Sudanese Civil War.
  • B. Nessa
    Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
  • C. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • D. Ninalla
    Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
  • E. Nambya
    Nambya are a Bantu-speaking ethnic group primarily found in northwestern Zimbabwe and parts of Botswana, known for their distinct language and cultural traditions.
  • 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: Nyanya
Triple: [Nyanya bombings, locatedIn, Nyanya]
Generated description
Nyanya is a suburban district on the outskirts of Abuja, Nigeria’s capital, known for its busy transport hub and residential communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nyanya
Target entity description: Nyanya is a suburban district on the outskirts of Abuja, Nigeria’s capital, known for its busy transport hub and residential communities.
  • A. Anyanya
    Anyanya was a southern Sudanese separatist rebel movement that fought for independence from the northern-dominated government during the First Sudanese Civil War.
  • B. Nessa
    Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
  • C. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • D. Ninalla
    Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
  • E. Nambya
    Nambya are a Bantu-speaking ethnic group primarily found in northwestern Zimbabwe and parts of Botswana, known for their distinct language and cultural traditions.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc9dd5081908880061d52351850 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abfc8588190ab9300c6e5e59092 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f61a13fd1481908a06ca65b276e0e1 completed May 2, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69f61ad2bd0c8190ada37bc1f8ae160f completed May 2, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:52 p.m.