Triple
T13528553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avaldsnes IL |
E323072
|
entity |
| Predicate | league |
P888
|
FINISHED |
| Object | Toppserien |
E317498
|
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: Toppserien | Statement: [Avaldsnes IL, league, Toppserien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toppserien Context triple: [Avaldsnes IL, league, Toppserien]
-
A.
Toppserien
chosen
Toppserien is the top professional women's football league in Norway, featuring the country's highest-level clubs.
-
B.
Olavtoppen
Olavtoppen is the highest mountain on the remote subantarctic Bouvet Island, a Norwegian dependency in the South Atlantic Ocean.
-
C.
Tre Løver
Tre Løver was a Danish warship that took part in the 1677 Battle of Køge Bay during the Scanian War between Denmark-Norway and Sweden.
-
D.
Brødre
Brødre is a Danish drama film that inspired the later English-language remake "Brothers."
-
E.
Arvingerne
Arvingerne is a Danish drama television series that follows the complex conflicts and secrets of a family fighting over the inheritance of a famous artist’s estate.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.