Triple
T2207145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvik Halden FK |
E50825
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Kvik Halden Fotballklubb |
E50825
|
NE FINISHED |
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: Kvik Halden Fotballklubb | Statement: [Kvik Halden FK, hasAbbreviation, Kvik Halden Fotballklubb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvik Halden Fotballklubb Context triple: [Kvik Halden FK, hasAbbreviation, Kvik Halden Fotballklubb]
-
A.
Kvik Halden FK
chosen
Kvik Halden FK is a Norwegian football club based in the town of Halden, known for competing in the national league system.
-
B.
Vålerenga
Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
-
C.
Lillehammer FK
Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
-
D.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
-
E.
Oslo Havn KF
Oslo Havn KF is the municipal enterprise responsible for managing and developing the Port of Oslo’s harbor infrastructure and maritime operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654b89b081908f8c8b9bfc0b6579 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.