Triple

T3991571
Position Surface form Disambiguated ID Type / Status
Subject Bulu language E87000 entity
Predicate alternateName P39 FINISHED
Object Boulou
Boulou is an alternate name for the Bulu language, a Bantu language spoken primarily in Cameroon.
 E471796 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: Boulou | Statement: [Bulu language, alternateName, Boulou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boulou
Context triple: [Bulu language, alternateName, Boulou]
  • A. Perpignan
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • B. La Grande-Motte
    La Grande-Motte is a seaside resort town on France’s Mediterranean coast, noted for its distinctive modernist pyramid-shaped architecture and beaches.
  • C. Sète
    Sète is a coastal port city in southern France known for its canals, fishing industry, and vibrant maritime culture on the Mediterranean Sea.
  • D. Béziers
    Béziers is a historic city in southern France known for its wine production, ancient Roman heritage, and the famous Feria de Béziers festival.
  • E. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • 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: Boulou
Triple: [Bulu language, alternateName, Boulou]
Generated description
Boulou is an alternate name for the Bulu language, a Bantu language spoken primarily in Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boulou
Target entity description: Boulou is an alternate name for the Bulu language, a Bantu language spoken primarily in Cameroon.
  • A. Perpignan
    Perpignan is a historic city in southern France near the Spanish border, known for its Catalan culture and Mediterranean climate.
  • B. La Grande-Motte
    La Grande-Motte is a seaside resort town on France’s Mediterranean coast, noted for its distinctive modernist pyramid-shaped architecture and beaches.
  • C. Sète
    Sète is a coastal port city in southern France known for its canals, fishing industry, and vibrant maritime culture on the Mediterranean Sea.
  • D. Béziers
    Béziers is a historic city in southern France known for its wine production, ancient Roman heritage, and the famous Feria de Béziers festival.
  • E. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa02ed6881908e31d342413fed26 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d60ae3c8190aea53073a37d0c07 completed March 21, 2026, 7:48 a.m.
NEDg Description generation batch_69be4f483e5c8190a568a8acc19aefe3 completed March 21, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69be4fa1037881908e926df651aec812 completed March 21, 2026, 7:58 a.m.
Created at: March 9, 2026, 3:33 p.m.