Triple

T15124299
Position Surface form Disambiguated ID Type / Status
Subject Östers IF E361246 entity
Predicate shortName P43 FINISHED
Object Öster
Öster is a Swedish football club known formally as Östers IF, based in Växjö and historically successful in the Allsvenskan league.
E1139336 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: Öster | Statement: [Östers IF, shortName, Öster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Öster
Context triple: [Östers IF, shortName, Öster]
  • A. Ostönnen
    Ostönnen is a village and district of the town of Soest in North Rhine-Westphalia, Germany.
  • B. Södertörn
    Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
  • C. Örtze
    Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • 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: Öster
Triple: [Östers IF, shortName, Öster]
Generated description
Öster is a Swedish football club known formally as Östers IF, based in Växjö and historically successful in the Allsvenskan league.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Öster
Target entity description: Öster is a Swedish football club known formally as Östers IF, based in Växjö and historically successful in the Allsvenskan league.
  • A. Ostönnen
    Ostönnen is a village and district of the town of Soest in North Rhine-Westphalia, Germany.
  • B. Södertörn
    Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
  • C. Örtze
    Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f67f6c81909723c13255306668 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb988f17c81908ea237e413d4adb1 completed May 9, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69feba0d2ad081908f637740e8714cc1 completed May 9, 2026, 4:37 a.m.
Created at: April 10, 2026, 3:06 a.m.