Triple
T16408753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krefeld |
E398502
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Linn |
E191563
|
NE FINISHED |
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: Linn | Statement: [Krefeld, hasDistrict, Linn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linn Context triple: [Krefeld, hasDistrict, Linn]
-
A.
Linn
chosen
Linn is a historic district of the German city of Krefeld, known for its medieval castle and well-preserved old town.
-
B.
Linn
Linn is a surname most notably borne by American actor Rex Linn, known for his roles in film and television crime dramas.
-
C.
Linn of Dee
Linn of Dee is a scenic gorge and waterfall on the River Dee in the Cairngorms of Scotland, known as a popular starting point for walks into the surrounding mountains.
-
D.
Lind
Lind is a surname of German and Scandinavian origin borne by various notable individuals across fields such as the arts, politics, and academia.
-
E.
Leineaue
Leineaue is the natural floodplain landscape along the River Leine, characterized by periodically inundated meadows, wetlands, and riparian habitats.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.