Triple
T22226490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lerkendal Stadion |
E549350
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Lerkendal |
—
|
NE NERFINISHED |
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: Lerkendal | Statement: [Lerkendal Stadion, locatedInNeighborhood, Lerkendal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerkendal Context triple: [Lerkendal Stadion, locatedInNeighborhood, Lerkendal]
-
A.
Lerkendal
chosen
Lerkendal is a district in Trondheim, Norway, best known for the Lerkendal Stadion football arena and its surrounding transport connections.
-
B.
Rosendal
Rosendal is a village in western Norway known for its scenic fjord landscape and the historic Barony Rosendal manor.
-
C.
Kongsvinger
Kongsvinger is a town and municipality in Innlandet county, Norway, known for its historic fortress overlooking the Glomma River and its role as a regional center near the Swedish border.
-
D.
Kjelsås
Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
-
E.
Roerdalen
Roerdalen is a rural municipality in the Dutch province of Limburg, known for its villages, natural landscapes, and proximity to the German border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bee8de8819091ec5d14ea057f9e |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.