Triple

T12154004
Position Surface form Disambiguated ID Type / Status
Subject Bwari Area Council E289528 entity
Predicate contains P35 FINISHED
Object Barangoni
Barangoni is a locality within Nigeria’s Federal Capital Territory, situated under the jurisdiction of Bwari Area Council.
 E967008 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: Barangoni | Statement: [Bwari Area Council, contains, Barangoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barangoni
Context triple: [Bwari Area Council, contains, Barangoni]
  • A. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • B. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • C. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • D. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • E. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • 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: Barangoni
Triple: [Bwari Area Council, contains, Barangoni]
Generated description
Barangoni is a locality within Nigeria’s Federal Capital Territory, situated under the jurisdiction of Bwari Area Council.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barangoni
Target entity description: Barangoni is a locality within Nigeria’s Federal Capital Territory, situated under the jurisdiction of Bwari Area Council.
  • A. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • B. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • C. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • D. Kungara
    Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • E. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915bf615c8190ad5f8ae8665678dc completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69aa2e88190aaa58468571d6dad completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f601e0777081909e1212436680a10d completed May 2, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_69f602a21f948190849839301f49d55a completed May 2, 2026, 1:56 p.m.
Created at: April 8, 2026, 9:50 p.m.