Triple
T16708373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Førde |
E406030
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Førde IL
Førde IL is a Norwegian multi-sport club based in Førde, known for organizing and supporting a variety of local sports activities and teams.
|
E1229425
|
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: Førde IL | Statement: [Førde, hasSportsClub, Førde IL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Førde IL Context triple: [Førde, hasSportsClub, Førde IL]
-
A.
Førde
Førde is a town in western Norway known as a regional service center and cultural hub, particularly recognized for its annual folk music festival.
-
B.
Avaldsnes IL
Avaldsnes IL is a Norwegian football club whose women's team has featured several prominent international players, including Brazilian star Debinha.
-
C.
Hystad
Hystad is a residential area and neighboring settlement to Leirvik in the municipality of Stord in western Norway.
-
D.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
E.
Voss district
Voss district is a traditional region in western Norway known for its mountainous landscapes, outdoor activities, and strong cultural heritage.
- 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: Førde IL Triple: [Førde, hasSportsClub, Førde IL]
Generated description
Førde IL is a Norwegian multi-sport club based in Førde, known for organizing and supporting a variety of local sports activities and teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Førde IL Target entity description: Førde IL is a Norwegian multi-sport club based in Førde, known for organizing and supporting a variety of local sports activities and teams.
-
A.
Førde
Førde is a town in western Norway known as a regional service center and cultural hub, particularly recognized for its annual folk music festival.
-
B.
Avaldsnes IL
Avaldsnes IL is a Norwegian football club whose women's team has featured several prominent international players, including Brazilian star Debinha.
-
C.
Hystad
Hystad is a residential area and neighboring settlement to Leirvik in the municipality of Stord in western Norway.
-
D.
Drøbak-Frogn IL
Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
-
E.
Voss district
Voss district is a traditional region in western Norway known for its mountainous landscapes, outdoor activities, and strong cultural heritage.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38650c3808190a561f22b169dc3ae |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a50eac81908af26a5131bf0a6c |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 5:20 a.m.