Triple
T21645744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leimental |
E534207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ettingen |
—
|
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: Ettingen | Statement: [Leimental, contains, Ettingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ettingen Context triple: [Leimental, contains, Ettingen]
-
A.
Ettingen
chosen
Ettingen is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, situated near the city of Basel.
-
B.
Eptingen
Eptingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its rural setting in the Jura hills and its mineral spring.
-
C.
Effingen
Effingen is a small Swiss village and former municipality in the canton of Aargau, known for its rural character and location near the Jura Mountains.
-
D.
Essingen
Essingen is a municipality in the Ostalbkreis district of the state of Baden-Württemberg in southern Germany.
-
E.
Ellingen
Ellingen is a historic market town in Bavaria, Germany, known for its well-preserved baroque architecture and the former residence of the Teutonic Order.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5394c570819081dbbe7e0f98f7d3 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.