Triple
T22422363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itter Castle |
E554279
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Itter |
—
|
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: Itter | Statement: [Itter Castle, locatedIn, Itter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itter Context triple: [Itter Castle, locatedIn, Itter]
-
A.
Itter
The Itter is a river in southwestern Germany that flows through the Odenwald region and serves as a tributary of the Neckar.
-
B.
Itter
chosen
Itter is a small Austrian village and municipality in the state of Tyrol, known for its scenic Alpine setting and proximity to popular ski areas.
-
C.
Ittigen
Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
-
D.
Etting
Etting is a surname most notably associated with American singer and actress Ruth Etting, a popular entertainer of the 1920s and 1930s.
-
E.
Erwitte
Erwitte is a small town in the German state of North Rhine-Westphalia, known for its historic architecture and location in the Soest district.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2a1a3c8190a649ee4df2429e69 |
completed | April 29, 2026, 1:08 a.m. |
Created at: April 16, 2026, 8:47 p.m.