Triple

T6528356
Position Surface form Disambiguated ID Type / Status
Subject Casamance Creole E151362 entity
Predicate spokenInCity P8343 FINISHED
Object Oussouye
Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
 E605142 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: Oussouye | Statement: [Casamance Creole, spokenInCity, Oussouye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oussouye
Context triple: [Casamance Creole, spokenInCity, Oussouye]
  • A. Ouezzane
    Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
  • B. Kissoué
    Kissoué is a town in southwestern Syria that gained historical significance as the site of a notable World War II battle during the Syria–Lebanon campaign.
  • C. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • D. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • E. 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.
  • 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: Oussouye
Triple: [Casamance Creole, spokenInCity, Oussouye]
Generated description
Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oussouye
Target entity description: Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • A. Ouezzane
    Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
  • B. Kissoué
    Kissoué is a town in southwestern Syria that gained historical significance as the site of a notable World War II battle during the Syria–Lebanon campaign.
  • C. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • D. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • E. 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.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada9c8408190b1bc327985366be9 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52ca9988190addfdae6d7b53a6e completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6d9af148190ad9cd2cc31a70bb7 completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d98506b88190aae3b4d887744648 completed March 27, 2026, 7:24 p.m.
Created at: March 27, 2026, 1:46 p.m.