Triple
T8787903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traunstein district |
E209087
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Alz |
E206837
|
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: Alz | Statement: [Traunstein district, hasRiver, Alz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alz Context triple: [Traunstein district, hasRiver, Alz]
-
A.
Alz
chosen
The Alz is a river in Bavaria, Germany, known for flowing out of Lake Chiemsee and joining the Inn River.
-
B.
Alzon
The Alzon is a river in southern France that flows through the Gard department, including the town of Uzès.
-
C.
Alzheimer
Alzheimer is a German surname most famously associated with Alois Alzheimer, the neurologist after whom Alzheimer’s disease is named.
-
D.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
E.
Ale
Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f89a84c819085d4cfe4e6dfbda8 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf520678f48190a0af3df75df9b269 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.