Triple
T5788954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Bus Terminal |
E128343
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Oslo Spektrum |
E319827
|
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: Oslo Spektrum | Statement: [Oslo Bus Terminal, locatedNear, Oslo Spektrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oslo Spektrum Context triple: [Oslo Bus Terminal, locatedNear, Oslo Spektrum]
-
A.
Oslo Spektrum
chosen
Oslo Spektrum is a large indoor arena in Oslo, Norway, primarily used for ice hockey, concerts, and major cultural and sporting events.
-
B.
Skagerak Arena
Skagerak Arena is a football stadium in Skien, Norway, best known as the home ground of the club Odds BK.
-
C.
Scandinavium arena
Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
-
D.
Bella Center
Bella Center is a major convention and exhibition center in Copenhagen, Denmark, known for hosting large international conferences, trade fairs, and events.
-
E.
ESPRIT Arena
ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a53d0148190bdebc4f5609939ac |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0981d9430819081e953dba9c2f8f8 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.