Triple
T22561279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bispevika |
E557818
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Barcode district |
—
|
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: Barcode district | Statement: [Bispevika, locatedNear, Barcode district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barcode district Context triple: [Bispevika, locatedNear, Barcode district]
-
A.
Barcode district
chosen
Barcode district is a modern waterfront business and residential area in central Oslo, Norway, known for its distinctive row of high-rise buildings with narrow gaps resembling a barcode.
-
B.
Buyende District
Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
-
C.
Bringin District
Bringin District is an administrative district within Semarang Regency in Central Java, Indonesia, comprising several villages and local communities.
-
D.
Panda District
Panda District is an administrative district located within Inhambane Province in southern Mozambique.
-
E.
Tabata district
Tabata district is a neighborhood in Tokyo, Japan, known as a residential area with convenient rail access via Tabata Station.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa5f4008190921095b7aff4f4e2 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.