Triple
T9495345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eider |
E228989
|
entity |
| Predicate | mouthNear |
P18935
|
FINISHED |
| Object | Tönning |
E503863
|
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: Tönning | Statement: [Eider, mouthNear, Tönning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tönning Context triple: [Eider, mouthNear, Tönning]
-
A.
Tönning
chosen
Tönning is a historic town in northern Germany’s Schleswig-Holstein region, known for its strategic location on the Eider River and its former role as a fortified port.
-
B.
Tullinge
Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
-
C.
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
D.
Wittmund
Wittmund is a small town in Lower Saxony, Germany, known as an administrative center in the East Frisia region.
-
E.
Tynningö
Tynningö is an island in Sweden’s Stockholm archipelago, known for its summer homes, natural scenery, and proximity to the town of Vaxholm.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95eb87b081908fc7255598cd9a24 |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d34967881909980be6f1be80885 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:56 p.m.