Triple
T22078307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dælenenga |
E545578
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Carl Berners plass |
—
|
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: Carl Berners plass | Statement: [Dælenenga, hasNearbyArea, Carl Berners plass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Berners plass Context triple: [Dælenenga, hasNearbyArea, Carl Berners plass]
-
A.
Kagerplassen
Kagerplassen is a lake and recreational water area in South Holland, Netherlands, popular for boating, sailing, and watersports amid a landscape of polders and windmills.
-
B.
Berns
Berns is the surname of Alison Berns, an American former radio and television personality best known for her long-term marriage to broadcaster Howard Stern.
-
C.
Bartning
Bartning is a German surname most notably associated with Otto Bartning, a prominent 20th-century architect and theorist of modern church architecture.
-
D.
Bosseborn
Bosseborn is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
E.
Brynseng
chosen
Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b43df0819090c248ded98fad12 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.