Triple
T19992380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alzheimer |
E494093
|
entity |
| Predicate | etymologyRelatedTo |
P453
|
FINISHED |
| Object | Alzheim (place name) |
—
|
NE NERFINISHED |
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: Alzheim (place name) | Statement: [Alzheimer, etymologyRelatedTo, Alzheim (place name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alzheim (place name) Context triple: [Alzheimer, etymologyRelatedTo, Alzheim (place name)]
-
A.
Altheim (Alb)
Altheim (Alb) is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated on the Swabian Alb plateau.
-
B.
Alfhausen
Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
-
C.
Albergen
Albergen is a small village in the Dutch province of Overijssel, located within the municipality of Tubbergen.
-
D.
Altenmarkt an der Alz
chosen
Altenmarkt an der Alz is a small Bavarian municipality in southeastern Germany known for its riverside setting and rural charm.
-
E.
Altheim
Altheim is a small town in the Innviertel region of Upper Austria, known for its rural character and local thermal spa facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.