Triple

T13851283
Position Surface form Disambiguated ID Type / Status
Subject Manisa E332946 entity
Predicate hasSportsClub P346 FINISHED
Object Manisaspor
Manisaspor is a Turkish professional football club based in the city of Manisa, known for competing in the national league system and developing local talent.
E1086629 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: Manisaspor | Statement: [Manisa, hasSportsClub, Manisaspor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manisaspor
Context triple: [Manisa, hasSportsClub, Manisaspor]
  • A. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • B. Alanyaspor
    Alanyaspor is a professional Turkish football club based in Alanya that competes in the country’s top leagues and is known for its regional rivalry with Antalyaspor.
  • C. Denizlispor
    Denizlispor is a professional Turkish football club based in the city of Denizli that competes in the national league system.
  • D. Kocaelispor
    Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
  • E. Konyaspor
    Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
  • 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: Manisaspor
Triple: [Manisa, hasSportsClub, Manisaspor]
Generated description
Manisaspor is a Turkish professional football club based in the city of Manisa, known for competing in the national league system and developing local talent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manisaspor
Target entity description: Manisaspor is a Turkish professional football club based in the city of Manisa, known for competing in the national league system and developing local talent.
  • A. Kayserispor
    Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
  • B. Alanyaspor
    Alanyaspor is a professional Turkish football club based in Alanya that competes in the country’s top leagues and is known for its regional rivalry with Antalyaspor.
  • C. Denizlispor
    Denizlispor is a professional Turkish football club based in the city of Denizli that competes in the national league system.
  • D. Kocaelispor
    Kocaelispor is a Turkish professional football club based in İzmit, known for its passionate fan base and regional rivalries in the Marmara region.
  • E. Konyaspor
    Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd192957008190b525778430b56ca0 completed May 7, 2026, 10:58 p.m.
NEDg Description generation batch_69fd1fb29ef88190bfa15c163ca392ed completed May 7, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69fd2006221081908ab46e1eadb52e3d completed May 7, 2026, 11:28 p.m.
Created at: April 9, 2026, 10:14 p.m.