Triple

T2456497
Position Surface form Disambiguated ID Type / Status
Subject Kinshasa E54433 entity
Predicate hasSportsTeam P330 FINISHED
Object DC Motema Pembe
DC Motema Pembe is a prominent football club based in Kinshasa in the Democratic Republic of the Congo, known for its success in domestic competitions and strong local support.
E268788 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: DC Motema Pembe | Statement: [Kinshasa, hasSportsTeam, DC Motema Pembe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC Motema Pembe
Context triple: [Kinshasa, hasSportsTeam, DC Motema Pembe]
  • A. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • B. Dazzle
    "Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
  • C. Neon
    Neon is a fast-paced Duelist agent in the game Valorant known for her high-mobility, electricity-themed abilities that enable rapid flanking and aggressive plays.
  • D. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • E. La Bicolor
    La Bicolor is the popular nickname of the Guatemala national football team, referring to its traditional two-colored kit.
  • 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: DC Motema Pembe
Triple: [Kinshasa, hasSportsTeam, DC Motema Pembe]
Generated description
DC Motema Pembe is a prominent football club based in Kinshasa in the Democratic Republic of the Congo, known for its success in domestic competitions and strong local support.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DC Motema Pembe
Target entity description: DC Motema Pembe is a prominent football club based in Kinshasa in the Democratic Republic of the Congo, known for its success in domestic competitions and strong local support.
  • A. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • B. Dazzle
    "Dazzle" is a track featured on the 1982 album *Music for Chameleons* by Gary Numan.
  • C. Neon
    Neon is a fast-paced Duelist agent in the game Valorant known for her high-mobility, electricity-themed abilities that enable rapid flanking and aggressive plays.
  • D. Tinte
    Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
  • E. La Bicolor
    La Bicolor is the popular nickname of the Guatemala national football team, referring to its traditional two-colored kit.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd106f4608190ae17ddbd24fad97e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ca655c81908612983ced5f5786 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef50bc7ac8190add8ee63c5621dc1 completed March 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69aef6342d5481908abf683f8e3f80ae completed March 9, 2026, 4:32 p.m.
Created at: March 6, 2026, 9:44 p.m.