Triple
T10942087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfarrkirchen |
E258497
|
entity |
| Predicate | isAdministrativeCenterOf |
P1474
|
FINISHED |
| Object | Rottal-Inn |
E265593
|
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: Rottal-Inn | Statement: [Pfarrkirchen, isAdministrativeCenterOf, Rottal-Inn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rottal-Inn Context triple: [Pfarrkirchen, isAdministrativeCenterOf, Rottal-Inn]
-
A.
Rottal-Inn
chosen
Rottal-Inn is a rural district in southeastern Bavaria, Germany, known for its spa towns, agricultural landscape, and location along the Rott and Inn rivers.
-
B.
Rottach-Egern
Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
-
C.
Schneizlreuth
Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
-
D.
Lauterhofen
Lauterhofen is a market town in Bavaria, Germany, known for its rural character and location within the Upper Palatinate region.
-
E.
Neusäß
Neusäß is a town in Bavaria, Germany, located just northwest of the city of Augsburg and functioning largely as a residential and commuter suburb.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c33a7c8190b3347944f68ee431 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5099f57ac81909e7734b83ad96a40 |
completed | April 19, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:23 p.m.