Triple

T14432399
Position Surface form Disambiguated ID Type / Status
Subject Saloum E357866 entity
Predicate capital P234 FINISHED
Object Kahone
Kahone is a historic town in Senegal that once served as the political center of the precolonial Serer kingdom of Saloum.
E1102642 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: Kahone | Statement: [Saloum, capital, Kahone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kahone
Context triple: [Saloum, capital, Kahone]
  • A. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • B. Kiname
    "Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
  • C. Hekari
    Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
  • D. Bedonkohe
    The Bedonkohe are a Western Apache subgroup historically associated with the Mogollon Mountains region of present-day New Mexico.
  • E. Kamatero
    Kamatero is a suburban municipality within the Athens metropolitan area in Greece, known primarily as a residential district.
  • 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: Kahone
Triple: [Saloum, capital, Kahone]
Generated description
Kahone is a historic town in Senegal that once served as the political center of the precolonial Serer kingdom of Saloum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kahone
Target entity description: Kahone is a historic town in Senegal that once served as the political center of the precolonial Serer kingdom of Saloum.
  • A. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • B. Kiname
    "Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
  • C. Hekari
    Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
  • D. Bedonkohe
    The Bedonkohe are a Western Apache subgroup historically associated with the Mogollon Mountains region of present-day New Mexico.
  • E. Kamatero
    Kamatero is a suburban municipality within the Athens metropolitan area in Greece, known primarily as a residential district.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d84fd888190b05dcf9191bae337 completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6e354c1081909afcc848ee50e5b7 completed May 8, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69fd6ee08c848190862c3ad1ef41609b completed May 8, 2026, 5:04 a.m.
Created at: April 10, 2026, 1:18 a.m.