Triple

T10060416
Position Surface form Disambiguated ID Type / Status
Subject Shehu of Borno E208972 entity
Predicate historicalCapital P2536 FINISHED
Object Dikwa
Dikwa is a historic town in northeastern Nigeria that once served as a key political and administrative center of the Borno Empire.
 E838803 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: Dikwa | Statement: [Shehu of Borno, historicalCapital, Dikwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dikwa
Context triple: [Shehu of Borno, historicalCapital, Dikwa]
  • A. Dikili
    Dikili is a coastal town and district in western Turkey known for its beaches, thermal springs, and proximity to the Aegean Sea.
  • B. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • C. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • D. Dhudike
    Dhudike is a village located in the Moga district of the Indian state of Punjab, known for its agricultural surroundings and rural Punjabi culture.
  • E. Kwayo
    Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
  • 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: Dikwa
Triple: [Shehu of Borno, historicalCapital, Dikwa]
Generated description
Dikwa is a historic town in northeastern Nigeria that once served as a key political and administrative center of the Borno Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dikwa
Target entity description: Dikwa is a historic town in northeastern Nigeria that once served as a key political and administrative center of the Borno Empire.
  • A. Dikili
    Dikili is a coastal town and district in western Turkey known for its beaches, thermal springs, and proximity to the Aegean Sea.
  • B. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • C. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • D. Dhudike
    Dhudike is a village located in the Moga district of the Indian state of Punjab, known for its agricultural surroundings and rural Punjabi culture.
  • E. Kwayo
    Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfd0d23081909510785ef8a186a3 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a6779348190ab8db058fb6e5ce1 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29c76b84081909e23944c792aecbd completed April 5, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_69d29ce64bf0819089e8ab126e33180e completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:57 p.m.