Triple
T13861784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loisach |
E333213
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Wolfratshausen |
E509691
|
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: Wolfratshausen | Statement: [Loisach, flowsThrough, Wolfratshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfratshausen Context triple: [Loisach, flowsThrough, Wolfratshausen]
-
A.
Wolfratshausen
chosen
Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
-
B.
Haßfurt
Haßfurt is a small town in northern Bavaria, Germany, situated on the Main River and known for its historic architecture and regional administrative role.
-
C.
Schwarzach
Schwarzach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz.
-
D.
Schwarzach
Schwarzach is a municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting in the Bavarian Forest region.
-
E.
Schwarzach
Schwarzach is a river in Bavaria, Germany, known as a tributary of the Rednitz.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa11c81f481909129eef69e47d079 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:14 p.m.