Triple
T9540533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landshut (district) |
E230144
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Vils |
E333215
|
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: Vils | Statement: [Landshut (district), locatedOnRiver, Vils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vils Context triple: [Landshut (district), locatedOnRiver, Vils]
-
A.
Vils
chosen
Vils is a river in Bavaria, Germany, known for flowing through the Alpine foothills before joining the Isar.
-
B.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
C.
Kleine Brenz
Kleine Brenz is a small river in southern Germany that serves as a tributary of the Brenz.
-
D.
Söll
Söll is a popular Austrian village and ski resort in the Kitzbühel Alps, known for its extensive winter sports facilities and scenic alpine setting.
-
E.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15278efd4819091e707aabd9a59d7 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:01 p.m.