Triple
T10343689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfaffenhofen an der Ilm |
E243687
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Ilm |
E794731
|
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: Ilm | Statement: [Pfaffenhofen an der Ilm, hasRiver, Ilm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilm Context triple: [Pfaffenhofen an der Ilm, hasRiver, Ilm]
-
A.
Ilm
The Ilm is a river in the German state of Thuringia that flows through the historic city of Weimar and is known for its picturesque landscapes and cultural associations.
-
B.
Ilm
chosen
Ilm is a river in Bavaria, Germany, that flows through the district of Pfaffenhofen an der Ilm and is a tributary of the Danube.
-
C.
Ilami
Ilami is a regional variety of Southern Kurdish spoken primarily in and around the city of Ilam in western Iran.
-
D.
Sayanci
Sayanci is a West Chadic language spoken in parts of northern Nigeria.
-
E.
Bilimoria
Bilimoria is a surname most prominently associated with Lord Karan Bilimoria, a British-Indian entrepreneur and founder of Cobra Beer.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e92105888190a08104deb9d0cf1c |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75077dfbc81908de29aac1a3bb19f |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:55 a.m.