Triple
T8596451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eskilstuna |
E203558
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Eskilstuna Guif
Eskilstuna Guif is a Swedish handball club based in Eskilstuna, known for competing in the country’s top handball leagues.
|
E746242
|
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: Eskilstuna Guif | Statement: [Eskilstuna, hasSportsClub, Eskilstuna Guif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eskilstuna Guif Context triple: [Eskilstuna, hasSportsClub, Eskilstuna Guif]
-
A.
Eskilstuna
Eskilstuna is an industrial city in central Sweden known historically for its metalworking and engineering industries.
-
B.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
C.
Stenstorp
Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
-
D.
Hudiksvall
Hudiksvall is a coastal town in east-central Sweden known for its historic wooden buildings and harbor on the Gulf of Bothnia.
-
E.
Oskarshamn
Oskarshamn is a coastal town in southeastern Sweden known for its Baltic Sea harbor and proximity to the island of Gotland.
- 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: Eskilstuna Guif Triple: [Eskilstuna, hasSportsClub, Eskilstuna Guif]
Generated description
Eskilstuna Guif is a Swedish handball club based in Eskilstuna, known for competing in the country’s top handball leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eskilstuna Guif Target entity description: Eskilstuna Guif is a Swedish handball club based in Eskilstuna, known for competing in the country’s top handball leagues.
-
A.
Eskilstuna
Eskilstuna is an industrial city in central Sweden known historically for its metalworking and engineering industries.
-
B.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
C.
Stenstorp
Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
-
D.
Hudiksvall
Hudiksvall is a coastal town in east-central Sweden known for its historic wooden buildings and harbor on the Gulf of Bothnia.
-
E.
Oskarshamn
Oskarshamn is a coastal town in southeastern Sweden known for its Baltic Sea harbor and proximity to the island of Gotland.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8d3fcfc8190bc51a38715ed453e |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69ceac90764c81908c349729bd22a9af |
completed | April 2, 2026, 5:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cead4a4f148190aa39e774528730c9 |
completed | April 2, 2026, 5:54 p.m. |
Created at: March 30, 2026, 6:23 p.m.