Triple
T15528859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aker Stadion |
E370155
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Molde FK |
E187563
|
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: Molde FK | Statement: [Aker Stadion, operator, Molde FK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molde FK Context triple: [Aker Stadion, operator, Molde FK]
-
A.
Molde FK
chosen
Molde FK is a Norwegian professional football club based in Molde, known as one of the country’s top teams and a key stepping stone in Erling Haaland’s early career.
-
B.
Bryne FK
Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
-
C.
Lillestrøm SK
Lillestrøm SK is a Norwegian professional football club known for its passionate fan base, historic success in domestic competitions, and intense rivalry with other Oslo-area teams.
-
D.
Strømsgodset
Strømsgodset is a Norwegian professional football club based in Drammen, best known for competing in the country’s top division, the Eliteserien.
-
E.
Stabæk Fotball
Stabæk Fotball is a Norwegian professional football club based in Bærum, known for competing in the country’s top divisions and developing notable players and coaches.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c39ffbc819089cea285e8145fa4 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:05 a.m.