Triple

T14840012
Position Surface form Disambiguated ID Type / Status
Subject Sagamu E348934 entity
Predicate hasSuburb P747 FINISHED
Object Makun
Makun is a residential suburb within the city of Sagamu in Ogun State, southwestern Nigeria.
E1121884 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: Makun | Statement: [Sagamu, hasSuburb, Makun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makun
Context triple: [Sagamu, hasSuburb, Makun]
  • A. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • B. Makye
    "Makye" is the debut studio album by Ghanaian rapper Sarkodie, widely credited with helping to popularize his career and modern hiplife music.
  • C. Makum
    Makum is a notable town in Assam, India, recognized historically as a coal-mining and railway hub within the Tinsukia district.
  • D. Makato
    Makato is a coastal municipality in the province of Aklan in the Western Visayas region of the Philippines.
  • E. Mokama
    Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
  • 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: Makun
Triple: [Sagamu, hasSuburb, Makun]
Generated description
Makun is a residential suburb within the city of Sagamu in Ogun State, southwestern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Makun
Target entity description: Makun is a residential suburb within the city of Sagamu in Ogun State, southwestern Nigeria.
  • A. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • B. Makye
    "Makye" is the debut studio album by Ghanaian rapper Sarkodie, widely credited with helping to popularize his career and modern hiplife music.
  • C. Makum
    Makum is a notable town in Assam, India, recognized historically as a coal-mining and railway hub within the Tinsukia district.
  • D. Makato
    Makato is a coastal municipality in the province of Aklan in the Western Visayas region of the Philippines.
  • E. Mokama
    Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3d0eca948190b107bc593b6e5b72 completed May 8, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_69fe3d94785881908911a7c6f1546d45 completed May 8, 2026, 7:46 p.m.
Created at: April 10, 2026, 1:53 a.m.