Triple
T11768627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traunsee |
E279839
|
entity |
| Predicate | hasLakesideTown |
P59883
|
FINISHED |
| Object | Traunkirchen |
E921202
|
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: Traunkirchen | Statement: [Traunsee, hasLakesideTown, Traunkirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traunkirchen Context triple: [Traunsee, hasLakesideTown, Traunkirchen]
-
A.
Traunkirchen
chosen
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
-
B.
Traiskirchen
Traiskirchen is a town in Lower Austria best known internationally for hosting one of Austria’s largest refugee reception centers.
-
C.
Amstetten
Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
-
D.
Gumpoldskirchen
Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
-
E.
Mitterskirchen
Mitterskirchen is a small municipality in the district of Rottal-Inn in Lower Bavaria, Germany, known for its rural character and traditional Bavarian setting.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a526979c8190ad2089997906855b |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684c71548819081af6734b8b7279a |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:41 p.m.