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.