Triple
T22477555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durbanville |
E555672
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Vierlanden |
—
|
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: Vierlanden | Statement: [Durbanville, hasNeighbourhood, Vierlanden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vierlanden Context triple: [Durbanville, hasNeighbourhood, Vierlanden]
-
A.
Westfália
Westfália is a small municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its strong German cultural heritage and agricultural economy.
-
B.
Ruigrijk
Ruigrijk is a themed area within the Efteling amusement park, known for its family-friendly attractions and playful, adventurous atmosphere.
-
C.
Erblande
Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
-
D.
Rijnland
chosen
Rijnland is a historical region in the western Netherlands, centered around the lower Rhine delta and known for its extensive water management and polder landscapes.
-
E.
Friezland
Friezland is a small village in the civil parish of Saddleworth, within the Metropolitan Borough of Oldham in Greater Manchester, England.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be58ed08190b88706a7cb85616b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.