Triple
T3356653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Zurich |
E70620
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Sihl River |
E78561
|
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: Sihl River | Statement: [Lake Zurich, inflow, Sihl River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sihl River Context triple: [Lake Zurich, inflow, Sihl River]
-
A.
Sihl River
chosen
The Sihl River is a Swiss river that flows through the canton of Zurich and joins the Limmat in the city of Zurich.
-
B.
Lachen River
The Lachen River is a Himalayan mountain river in the Indian state of Sikkim, known for its glacial origins and role in feeding the Teesta River system.
-
C.
Ticino River
The Ticino River is a major river in Switzerland and northern Italy that flows from the Swiss Alps through Lake Maggiore before joining the Po River.
-
D.
Isar River
The Isar River is a major river in Austria and Germany that flows through the Alps and the city of Munich before joining the Danube.
-
E.
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.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb242d4988190bbac993df587936d |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3545ea1b08190ad84b7e5f70b4d2e |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:13 p.m.