Triple
T20305376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vöcklabruck District |
E505595
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object | Irrsee |
—
|
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: Irrsee | Statement: [Vöcklabruck District, containsLake, Irrsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irrsee Context triple: [Vöcklabruck District, containsLake, Irrsee]
-
A.
Irrsee
chosen
Irrsee is a small, scenic lake in the Salzkammergut region of Upper Austria, known for its warm waters and tranquil natural setting.
-
B.
Traunsee
Traunsee is a picturesque alpine lake in Upper Austria, known for its deep waters, surrounding mountains, and popular lakeside towns like Gmunden.
-
C.
Achensee
Achensee is a large alpine lake in Tyrol, Austria, renowned for its clear turquoise waters and surrounding mountain scenery that make it a popular destination for outdoor recreation and tourism.
-
D.
Eisack
Eisack is a major river in northern Italy that flows through the South Tyrol region, including the city of Bolzano, before joining the Adige.
-
E.
Wörthersee
Wörthersee is a popular alpine lake in southern Austria known for its warm, turquoise waters and surrounding resort towns.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.