Triple
T10988022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aschaffenburg (district) |
E259681
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
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: [Aschaffenburg (district), vehicleRegistrationCode, ALZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALZ Context triple: [Aschaffenburg (district), vehicleRegistrationCode, 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.
Alzheimer's disease
Alzheimer's disease is a progressive neurodegenerative disorder characterized by memory loss, cognitive decline, and behavioral changes, and is the most common cause of dementia in older adults.
-
E.
MCI-Shirley
MCI-Shirley is a medium- and minimum-security state prison for men located in Shirley, Massachusetts.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:24 p.m.