Triple
T11008478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbarossa |
E260181
|
entity |
| Predicate | diedIn |
P21
|
FINISHED |
| Object | Saleph River |
E461086
|
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: Saleph River | Statement: [Barbarossa, diedIn, Saleph River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saleph River Context triple: [Barbarossa, diedIn, Saleph River]
-
A.
Saleph River
chosen
The Saleph River, historically located in present-day Turkey, is best known as the site where Holy Roman Emperor Frederick I Barbarossa drowned during the Third Crusade.
-
B.
Durolle River
The Durolle River is a waterway in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
C.
Situk River
The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
-
D.
Tyhume River
Tyhume River is a river in South Africa’s Eastern Cape that flows through the Amathole region and supports nearby rural communities and agriculture.
-
E.
Suolama River
The Suolama River is a remote river in northern Siberia that feeds into the Anabar River within the Arctic drainage basin of Russia.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2189c1cc819080dc296b17e42374 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 8, 2026, 9:25 p.m.