Triple
T4249913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Brienz |
E95823
|
entity |
| Predicate | inflows |
P4496
|
FINISHED |
| Object | Aare |
E62590
|
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: Aare | Statement: [Lake Brienz, inflows, Aare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aare Context triple: [Lake Brienz, inflows, Aare]
-
A.
Aare
chosen
The Aare is Switzerland’s longest entirely domestic river, flowing through major cities like Bern and feeding several lakes before joining the Rhine.
-
B.
Aare basin
The Aare basin is a major river catchment area in Switzerland that collects waters from numerous lakes and tributaries before ultimately feeding into the Rhine.
-
C.
River Reuss
The River Reuss is a major Swiss river that flows from the Gotthard region through cities such as Lucerne before joining the Aare.
-
D.
Colagne River
The Colagne River is a small river in southern France that flows through the Lozère department, including the town of Marvejols, before joining the Lot River.
-
E.
Lütschine
The Lütschine is a river in the Bernese Oberland region of Switzerland, known for flowing through the Lauterbrunnen and Grindelwald valleys before joining the Aare near Interlaken.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9f11008190a0021e0ad730a79d |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87fdca481908bd2c80b10d0dd3d |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.