Triple

T2456496
Position Surface form Disambiguated ID Type / Status
Subject Kinshasa E54433 entity
Predicate hasSportsTeam P330 FINISHED
Object AS Vita Club
AS Vita Club is a major Congolese football club based in Kinshasa, known as one of the most successful and popular teams in the Democratic Republic of the Congo.
E268787 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: AS Vita Club | Statement: [Kinshasa, hasSportsTeam, AS Vita Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AS Vita Club
Context triple: [Kinshasa, hasSportsTeam, AS Vita Club]
  • A. Ubii
    The Ubii were an ancient Germanic tribe known for their relocation to the Roman side of the Rhine and close alliance with the Roman Empire.
  • B. ST Arena
    ST Arena was the former name of Ondrej Nepela Arena, a major multi-purpose ice hockey and events venue in Bratislava, Slovakia.
  • C. Club 152
    Club 152 is a popular multi-level bar and live music venue on Memphis’s historic Beale Street, known for its energetic nightlife and performances.
  • D. Tabua Club
    Tabua Club is Fiji Airways’ frequent flyer program offering members benefits such as mileage accrual, flight rewards, and travel privileges.
  • E. SIE
    SIE is the stock ticker symbol for Siemens AG, a major German multinational conglomerate specializing in industrial manufacturing, energy, and infrastructure technologies.
  • 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: AS Vita Club
Triple: [Kinshasa, hasSportsTeam, AS Vita Club]
Generated description
AS Vita Club is a major Congolese football club based in Kinshasa, known as one of the most successful and popular teams in the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AS Vita Club
Target entity description: AS Vita Club is a major Congolese football club based in Kinshasa, known as one of the most successful and popular teams in the Democratic Republic of the Congo.
  • A. Ubii
    The Ubii were an ancient Germanic tribe known for their relocation to the Roman side of the Rhine and close alliance with the Roman Empire.
  • B. ST Arena
    ST Arena was the former name of Ondrej Nepela Arena, a major multi-purpose ice hockey and events venue in Bratislava, Slovakia.
  • C. Club 152
    Club 152 is a popular multi-level bar and live music venue on Memphis’s historic Beale Street, known for its energetic nightlife and performances.
  • D. Tabua Club
    Tabua Club is Fiji Airways’ frequent flyer program offering members benefits such as mileage accrual, flight rewards, and travel privileges.
  • E. SIE
    SIE is the stock ticker symbol for Siemens AG, a major German multinational conglomerate specializing in industrial manufacturing, energy, and infrastructure technologies.
  • 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.