Triple
T23483798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asker municipality |
E570473
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object | Asker Fotball |
—
|
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: Asker Fotball | Statement: [Asker municipality, hasSportsClub, Asker Fotball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asker Fotball Context triple: [Asker municipality, hasSportsClub, Asker Fotball]
-
A.
Asker Fotball
chosen
Asker Fotball is a Norwegian football club based in Asker, known for competing in the national league system and developing local talent.
-
B.
Frisk Asker
Frisk Asker is a Norwegian sports club best known for its ice hockey team, which competes at the top level of Norwegian hockey.
-
C.
Sandefjord Fotball
Sandefjord Fotball is a Norwegian professional football club based in the town of Sandefjord, known for competing in the country’s top divisions.
-
D.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
E.
Elverum Fotball
Elverum Fotball is a Norwegian football club based in the town of Elverum, known for competing in the lower tiers of the national league system.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a751e6a08190a42c36722275d5d3 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.