Triple
T16273831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mölndal |
E395071
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Fässbergs IF
Fässbergs IF is a Swedish football club based in Mölndal, known for its long local sporting tradition.
|
E1204592
|
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: Fässbergs IF | Statement: [Mölndal, hasSportsClub, Fässbergs IF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fässbergs IF Context triple: [Mölndal, hasSportsClub, Fässbergs IF]
-
A.
Norrby IF
Norrby IF is a Swedish football club based in Borås, known for competing in the national league system and representing one of the city's traditional sports communities.
-
B.
Strängnäs FC
Strängnäs FC is a Swedish football club based in the town of Strängnäs.
-
C.
Gefle IF
Gefle IF is a Swedish professional football club based in the city of Gävle, known for competing in the national league system and developing local talent.
-
D.
Östers IF
Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
-
E.
IFK Eskilstuna
IFK Eskilstuna is a Swedish football club based in Eskilstuna, known for its long history and participation in the national league system.
- 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: Fässbergs IF Triple: [Mölndal, hasSportsClub, Fässbergs IF]
Generated description
Fässbergs IF is a Swedish football club based in Mölndal, known for its long local sporting tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fässbergs IF Target entity description: Fässbergs IF is a Swedish football club based in Mölndal, known for its long local sporting tradition.
-
A.
Norrby IF
Norrby IF is a Swedish football club based in Borås, known for competing in the national league system and representing one of the city's traditional sports communities.
-
B.
Strängnäs FC
Strängnäs FC is a Swedish football club based in the town of Strängnäs.
-
C.
Gefle IF
Gefle IF is a Swedish professional football club based in the city of Gävle, known for competing in the national league system and developing local talent.
-
D.
Östers IF
Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
-
E.
IFK Eskilstuna
IFK Eskilstuna is a Swedish football club based in Eskilstuna, known for its long history and participation in the national league system.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460b22d88190bdc7cf509cf74198 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a001a35b43081909b44a22798b1ef1b |
completed | May 10, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a93530c81908cb4180d9ebe9850 |
completed | May 10, 2026, 5:41 a.m. |
Created at: April 10, 2026, 5:05 a.m.