Triple
T4274071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Zug |
E97004
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Lorze |
E426555
|
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: Lorze | Statement: [Lake Zug, inflow, Lorze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorze Context triple: [Lake Zug, inflow, Lorze]
-
A.
Lorze
chosen
The Lorze is a river in central Switzerland that drains Lake Zug and flows through the cantons of Zug and Aargau before joining the Reuss.
-
B.
Desulo
Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
-
C.
Lutry
Lutry is a picturesque Swiss village on the shores of Lake Geneva, known for its historic old town and its role as a gateway to the UNESCO-listed Lavaux terraced vineyards.
-
D.
Louhans
Louhans is a small historic town in eastern France known for its arcaded main street and traditional Bresse architecture.
-
E.
Atzerodt
Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501abb74819086b2f04ac7a5c114 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c71fc0bc8190922ae85d3bd23546 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.