Triple
T17147790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravensburg district |
E416136
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Isny im Allgäu |
E416143
|
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: Isny im Allgäu | Statement: [Ravensburg district, containsTown, Isny im Allgäu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isny im Allgäu Context triple: [Ravensburg district, containsTown, Isny im Allgäu]
-
A.
Isny im Allgäu
chosen
Isny im Allgäu is a historic small town in the Allgäu region of southern Germany, known for its medieval city walls, picturesque alpine setting, and tourism.
-
B.
Wangen im Allgäu
Wangen im Allgäu is a historic town in the Allgäu region of southern Baden-Württemberg, Germany, known for its well-preserved medieval old town and picturesque setting near the Alps.
-
C.
Mattighofen
Mattighofen is a small town in Upper Austria known for being the headquarters of the motorcycle manufacturer KTM.
-
D.
Ostallgäu
Ostallgäu is a rural district in the Bavarian Alps of southern Germany, known for its picturesque landscapes and historic castles.
-
E.
Marltferner
Marltferner is a glacier located on the slopes of the Ortler massif in the Eastern Alps of northern Italy.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483158348190abb96b36caaf455a |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.