Triple

T13659076
Position Surface form Disambiguated ID Type / Status
Subject Baruten E326937 entity
Predicate hasSettlement P1068 FINISHED
Object Okuta
Okuta is a town in Baruten Local Government Area of Kwara State, Nigeria, known as a border community near the Nigeria–Benin frontier.
 E1052616 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: Okuta | Statement: [Baruten, hasSettlement, Okuta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Okuta
Context triple: [Baruten, hasSettlement, Okuta]
  • A. Ozawa
    Ozawa is a Japanese surname borne by various notable individuals in fields such as music, politics, and sports.
  • B. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Ogizawa
    Ogizawa is a mountain gateway village in Nagano Prefecture, Japan, best known as an access point to the Tateyama Kurobe Alpine Route and the Kurobe Dam.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • 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: Okuta
Triple: [Baruten, hasSettlement, Okuta]
Generated description
Okuta is a town in Baruten Local Government Area of Kwara State, Nigeria, known as a border community near the Nigeria–Benin frontier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Okuta
Target entity description: Okuta is a town in Baruten Local Government Area of Kwara State, Nigeria, known as a border community near the Nigeria–Benin frontier.
  • A. Ozawa
    Ozawa is a Japanese surname borne by various notable individuals in fields such as music, politics, and sports.
  • B. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Ogizawa
    Ogizawa is a mountain gateway village in Nagano Prefecture, Japan, best known as an access point to the Tateyama Kurobe Alpine Route and the Kurobe Dam.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b06c5d081909d31b8a537c94edb completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.