Triple
T22859684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorze River |
E566879
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Ägerital |
—
|
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: Ägerital | Statement: [Lorze River, flowsThrough, Ägerital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ägerital Context triple: [Lorze River, flowsThrough, Ägerital]
-
A.
Ägeri
chosen
Ägeri is a municipality in the canton of Zug in central Switzerland, known for its scenic Ägerisee (Lake Ägeri) and surrounding pre-Alpine landscape.
-
B.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
C.
Aigen
Aigen is a district of Salzburg, Austria, known for its villas, green spaces, and proximity to the Gaisberg mountain.
-
D.
Älta
Älta is a suburban locality in Nacka Municipality near Stockholm, Sweden, known for its residential areas and proximity to lakes and natural recreational areas.
-
E.
Angerberg
Angerberg is a small municipality in the Austrian state of Tyrol, known for its alpine scenery and rural character.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ec082c08190943e6cfc2e25c5cc |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.