Triple

T17257840
Position Surface form Disambiguated ID Type / Status
Subject Rufisque Department E418928 entity
Predicate contains P35 FINISHED
Object Bargny
Bargny is a coastal town in western Senegal known for its fishing community and proximity to the capital, Dakar.
 E1259463 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: Bargny | Statement: [Rufisque Department, contains, Bargny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bargny
Context triple: [Rufisque Department, contains, Bargny]
  • A. Bugalhos
    Bugalhos is a civil parish in the municipality of Alcanena, located in central Portugal.
  • B. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • C. Barchon
    Barchon is a village in the municipality of Blegny in the province of Liège, Belgium.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Bann
    Bann is an alternative name for the River Bann, one of the longest and most significant rivers in Northern Ireland.
  • 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: Bargny
Triple: [Rufisque Department, contains, Bargny]
Generated description
Bargny is a coastal town in western Senegal known for its fishing community and proximity to the capital, Dakar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bargny
Target entity description: Bargny is a coastal town in western Senegal known for its fishing community and proximity to the capital, Dakar.
  • A. Bugalhos
    Bugalhos is a civil parish in the municipality of Alcanena, located in central Portugal.
  • B. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • C. Barchon
    Barchon is a village in the municipality of Blegny in the province of Liège, Belgium.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Bann
    Bann is an alternative name for the River Bann, one of the longest and most significant rivers in Northern Ireland.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6dde4881908e7fc01fd5364616 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017521c90c819099cea67e4084aa67 completed May 11, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a01760409ac8190ac7714e31e686d9a completed May 11, 2026, 6:24 a.m.
Created at: April 10, 2026, 5:39 a.m.