Triple
T9805973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronny Deila |
E237954
|
entity |
| Predicate | leagueCoachedIn |
P7104
|
FINISHED |
| Object | Eliteserien |
E119741
|
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: Eliteserien | Statement: [Ronny Deila, leagueCoachedIn, Eliteserien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eliteserien Context triple: [Ronny Deila, leagueCoachedIn, Eliteserien]
-
A.
Eliteserien
chosen
Eliteserien is the top professional football league in Norway, featuring the country’s highest-level clubs in the sport.
-
B.
Norwegian First Division
The Norwegian First Division is the second-highest level of professional football in Norway, sitting directly below the top-tier Eliteserien.
-
C.
Norwegian Toppserien
Norwegian Toppserien is the top-tier professional women's football league in Norway.
-
D.
Metal Ligaen
Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
-
E.
Elitserien
Elitserien is the top professional bandy league in Sweden, featuring the country's highest-level clubs competing for the national championship.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7b67748190ba16ce868f29d13e |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c45878e481908aa2098eceb44256 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.