Triple
T1047320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vålerenga Fotball |
E22610
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object | Lyn Fotball |
E22611
|
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: Lyn Fotball | Statement: [Vålerenga Fotball, rival, Lyn Fotball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyn Fotball Context triple: [Vålerenga Fotball, rival, Lyn Fotball]
-
A.
Lyn Fotball
chosen
Lyn Fotball is a Norwegian football club based in Oslo, historically known as one of the country’s oldest and most traditional teams.
-
B.
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.
-
C.
Lommel SK
Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
-
D.
Lørenskog IF
Lørenskog IF is a Norwegian sports club best known for its football team, based in Lørenskog near Oslo.
-
E.
Örgryte IS
Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84d30888190b66f7245d781957d |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bcb65d08190b2ea04b6de3bb39b |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:42 p.m.