Triple
T15205349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmunden |
E363373
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Traunsee shipping |
E279839
|
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: Traunsee shipping | Statement: [Gmunden, hasTransport, Traunsee shipping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traunsee shipping Context triple: [Gmunden, hasTransport, Traunsee shipping]
-
A.
Traunsee
chosen
Traunsee is a picturesque alpine lake in Upper Austria, known for its deep waters, surrounding mountains, and popular lakeside towns like Gmunden.
-
B.
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.
-
C.
Traun
Traun is a river in southeastern Germany that flows through the Chiemgau region of Bavaria.
-
D.
Chiemsee shipping network
The Chiemsee shipping network is a passenger boat system operating on Lake Chiemsee in Bavaria, Germany, connecting lakeside towns and popular islands such as Herreninsel and Fraueninsel.
-
E.
Traun valley
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.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b7964c8190bc8dc3444b94f15e |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33b911c8190815341a342a8d3c8 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:11 a.m.