Triple
T13015513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lech |
E322539
|
entity |
| Predicate | hasTributary |
P415
|
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: [Lech, hasTributary, Vils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vils Context triple: [Lech, hasTributary, Vils]
-
A.
Vils
chosen
Vils is a river in Bavaria, Germany, known for flowing through the Alpine foothills before joining the Isar.
-
B.
Vils
Vils is a river in Bavaria, Germany, that flows into the Danube near the town of Vilshofen an der Donau.
-
C.
Vöckla
Vöckla is a river in Upper Austria that flows through the town of Vöcklabruck before joining the Ager.
-
D.
Pleiße
Pleiße is a river in eastern Germany that flows through the city of Leipzig and is a tributary of the White Elster.
-
E.
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.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c1147974819090007c21383d5c86 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:50 p.m.