Triple

T14153654
Position Surface form Disambiguated ID Type / Status
Subject Sine E350753 entity
Predicate capital P234 FINISHED
Object Diakhao
Diakhao is a historic town in Senegal that once served as the political and royal center of the precolonial Serer Kingdom of Sine.
 E1084439 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: Diakhao | Statement: [Sine, capital, Diakhao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diakhao
Context triple: [Sine, capital, Diakhao]
  • A. Anjara
    Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
  • B. Sofifi
    Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
  • C. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • D. Bidassoa
    Bidassoa is a river in the western Pyrenees that forms part of the border between France and Spain before flowing into the Bay of Biscay.
  • E. Belo-sur-Tsiribihina
    Belo-sur-Tsiribihina is a small town in western Madagascar that serves as a common gateway for river trips and access to the nearby Tsingy de Bemaraha National Park.
  • 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: Diakhao
Triple: [Sine, capital, Diakhao]
Generated description
Diakhao is a historic town in Senegal that once served as the political and royal center of the precolonial Serer Kingdom of Sine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diakhao
Target entity description: Diakhao is a historic town in Senegal that once served as the political and royal center of the precolonial Serer Kingdom of Sine.
  • A. Anjara
    Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
  • B. Sofifi
    Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
  • C. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • D. Bidassoa
    Bidassoa is a river in the western Pyrenees that forms part of the border between France and Spain before flowing into the Bay of Biscay.
  • E. Belo-sur-Tsiribihina
    Belo-sur-Tsiribihina is a small town in western Madagascar that serves as a common gateway for river trips and access to the nearby Tsingy de Bemaraha National Park.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6133754881908e1e97db71772deb completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ea34408190830263d7f5a88ce9 completed May 7, 2026, 8:36 p.m.
NEDg Description generation batch_69fd067e73708190adcb4e1c2fbf210d completed May 7, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69fd0c5161dc8190a923c5b00dc5b53a completed May 7, 2026, 10:04 p.m.
Created at: April 10, 2026, 12:57 a.m.