Triple
T20729509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kappel-Grafenhausen |
E509531
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Grafenhausen (Ortsteil) |
—
|
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: Grafenhausen (Ortsteil) | Statement: [Kappel-Grafenhausen, contains, Grafenhausen (Ortsteil)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grafenhausen (Ortsteil) Context triple: [Kappel-Grafenhausen, contains, Grafenhausen (Ortsteil)]
-
A.
Grafenhausen
chosen
Grafenhausen is a municipality in the Waldshut district of Baden-Württemberg in southwestern Germany, known for its Black Forest setting and traditional rural character.
-
B.
Gessertshausen
Gessertshausen is a municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Gunzenhausen
Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
-
D.
Garathshausen
Garathshausen is a small village and district of the municipality of Feldafing in Bavaria, Germany, located near Lake Starnberg.
-
E.
Eddigehausen
Eddigehausen is a village in Lower Saxony, Germany, that forms part of the municipality of Bovenden in the Göttingen 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1eb5d44819082d9fa410e676d91 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.