Triple
T21311528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deurne |
E525348
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Rivierenhof |
—
|
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: Rivierenhof | Statement: [Deurne, hasLandmark, Rivierenhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rivierenhof Context triple: [Deurne, hasLandmark, Rivierenhof]
-
A.
Rivierenhof
chosen
Rivierenhof is a large public park in the Deurne district of Antwerp, Belgium, known for its extensive greenery, ponds, and recreational facilities.
-
B.
Schlungenhof
Schlungenhof is a small settlement in Bavaria, Germany, situated close to the recreational Altmühlsee lake.
-
C.
Grabenhof
Grabenhof is a notable building complex located on Vienna’s historic Graben street, known for its characteristic 19th-century architecture and prominent city-center location.
-
D.
Gleimhaus
Gleimhaus is a literary museum in Halberstadt, Germany, dedicated to the life, work, and extensive correspondence of 18th-century poet and collector Johann Wilhelm Ludwig Gleim.
-
E.
Sippenaeken
Sippenaeken is a small village in eastern Belgium, near the Dutch and German borders, known for its rural landscape and historic church.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dc926c881909d70a317070ef295 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:17 p.m.