Triple
T22473290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansfelden |
E555559
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Traun |
—
|
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: Traun | Statement: [Ansfelden, hasRiver, Traun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traun Context triple: [Ansfelden, hasRiver, Traun]
-
A.
Traun
Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
-
B.
Traun
Traun is a river in southeastern Germany that flows through the Chiemgau region of Bavaria.
-
C.
Pitztal
Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
-
D.
Traun valley
chosen
Traun valley is a river valley in Upper Austria shaped by the Traun River, encompassing towns such as Leonding and forming part of the greater Linz metropolitan area.
-
E.
Lafnitz
Lafnitz is a river in southeastern Austria that forms part of the border between the federal states of Styria and Burgenland.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2034c81909d1263f2ed114b46 |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.