Triple
T22611629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lørenskog municipality |
E566718
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object | Lørenskog IK |
—
|
NE NERFINISHED |
How this triple was built (2 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: Lørenskog IK | Statement: [Lørenskog municipality, hasSportsClub, Lørenskog IK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lørenskog IK Context triple: [Lørenskog municipality, hasSportsClub, Lørenskog IK]
-
A.
Lørenskog IF
chosen
Lørenskog IF is a Norwegian sports club best known for its football team, based in Lørenskog near Oslo.
-
B.
Hasle-Løren IL
Hasle-Løren IL is a Norwegian sports club from Oslo known for its ice hockey program that helped develop NHL player Mats Zuccarello.
-
C.
Lillehammer IK
Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
-
D.
Storhamar Idrettslag
Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
-
E.
Kongsvinger IL
Kongsvinger IL is a Norwegian sports club best known for its football team, which has competed in the country’s top divisions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167eb08c88190bf2380fa8575d2da |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:56 p.m.