Triple
T3048982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debinha |
E83521
|
entity |
| Predicate | leagueParticipatedIn |
P2209
|
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: [Debinha, leagueParticipatedIn, Toppserien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toppserien Context triple: [Debinha, leagueParticipatedIn, Toppserien]
-
A.
Toppserien
chosen
Toppserien is the top professional women's football league in Norway, featuring the country's highest-level clubs.
-
B.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
-
C.
Tre Kronor
Tre Kronor is the iconic nickname of Sweden’s national men’s ice hockey team, renowned as one of the world’s top international hockey powers.
-
D.
Tunevannet
Tunevannet is a lake and recreational area near Sarpsborg in Østfold, Norway, known for outdoor activities such as swimming, fishing, and hiking.
-
E.
Ringen via Tøyen
Ringen via Tøyen is a circular service pattern on the Oslo Metro that routes trains through Tøyen station before completing a loop.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bb00a348190877c9cbf0f13cba4 |
completed | March 8, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eef7d1e081908535b7d972a147eb |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.