Triple

T5336576
Position Surface form Disambiguated ID Type / Status
Subject Second Ivorian Civil War E123840 entity
Predicate location P40 FINISHED
Object 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.
 E511396 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: Duékoué | Statement: [Second Ivorian Civil War, location, Duékoué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duékoué
Context triple: [Second Ivorian Civil War, location, Duékoué]
  • A. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • B. Guéckédou
    Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
  • C. Daloa
    Daloa is a major inland city in western Côte d'Ivoire known as an important commercial and agricultural center, particularly for cocoa production.
  • D. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • E. Ndjolé
    Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
  • 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: Duékoué
Triple: [Second Ivorian Civil War, location, Duékoué]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duékoué
Target entity description: 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.
  • A. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • B. Guéckédou
    Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
  • C. Daloa
    Daloa is a major inland city in western Côte d'Ivoire known as an important commercial and agricultural center, particularly for cocoa production.
  • D. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • E. Ndjolé
    Ndjolé is a town in central Gabon that serves as an important river port and transport hub along the Ogooué River.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85b104c081908b81236a0142e1c8 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18c1e1f88190a47489a9491eaf08 completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf199394e08190948f70a9884a39b6 completed March 21, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_69bf19f186bc81908e378f61100417a9 completed March 21, 2026, 10:21 p.m.
Created at: March 20, 2026, 2 p.m.