Triple

T6592892
Position Surface form Disambiguated ID Type / Status
Subject Bangui E148403 entity
Predicate roadConnectionTo P9041 FINISHED
Object Bouar
Bouar is a town in western Central African Republic that serves as an important regional center and transport hub.
E603467 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: Bouar | Statement: [Bangui, roadConnectionTo, Bouar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bouar
Context triple: [Bangui, roadConnectionTo, Bouar]
  • A. Bounoura
    Bounoura is a historic town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Vougy
    Vougy is a French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • C. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • D. Foumban
    Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
  • E. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • 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: Bouar
Triple: [Bangui, roadConnectionTo, Bouar]
Generated description
Bouar is a town in western Central African Republic that serves as an important regional center and transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bouar
Target entity description: Bouar is a town in western Central African Republic that serves as an important regional center and transport hub.
  • A. Bounoura
    Bounoura is a historic town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • B. Vougy
    Vougy is a French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • C. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • D. Foumban
    Foumban is a historic Cameroonian city renowned as the cultural and political center of the Bamoun people, noted for its traditional arts, crafts, and royal palace.
  • E. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aecf50ac81909cb9960c8265a7ea completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d57d338c81909e935926d635d2fc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.