Triple
T15792118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Sils |
E382884
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Inn River |
E116897
|
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: Inn River | Statement: [Lake Sils, outflow, Inn River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inn River Context triple: [Lake Sils, outflow, Inn River]
-
A.
Inn River
chosen
The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
B.
Idenburg River
The Idenburg River is a significant tributary in the river system of New Guinea, contributing to the flow and drainage basin of the Mamberamo River.
-
C.
Sieg River
The Sieg River is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and Rhineland-Palatinate.
-
D.
Örtze River
The Örtze River is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
-
E.
Hase River
The Hase River is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Ems River.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d9623081908496cdfdf86a078a |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfb95b348190a006f699c01e85ce |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 4:48 a.m.