Triple
T4508468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maja Einstein |
E101989
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Aarau |
E99980
|
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: Aarau | Statement: [Maja Einstein, residence, Aarau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarau Context triple: [Maja Einstein, residence, Aarau]
-
A.
Aarau
chosen
Aarau is a historic Swiss town and the capital of the canton of Aargau, known for its well-preserved old town and location near the Aare River.
-
B.
Rüthen
Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
-
C.
Lauterach
Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
-
D.
Riehen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
-
E.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570f9b1c8190b52ace855dbf6641 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f7c1bd08190bc7b7028a512a466 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.