Triple
T16688204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friesland district |
E405521
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Schortens |
E671077
|
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: Schortens | Statement: [Friesland district, contains, Schortens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schortens Context triple: [Friesland district, contains, Schortens]
-
A.
Schortens
chosen
Schortens is a small town in the district of Friesland in Lower Saxony, northwestern Germany, near the North Sea coast.
-
B.
Schnelsen
Schnelsen is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to major transport routes.
-
C.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
D.
Roderesch
Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
-
E.
Schellerten
Schellerten is a rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and small-village communities.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea75df481909a7ebb9b2a9d0afd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a45af7c8190bfe09dd0e0573573 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.