Triple
T8787879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traunstein district |
E209087
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Taching am See |
E795407
|
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: Taching am See | Statement: [Traunstein district, contains, Taching am See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taching am See Context triple: [Traunstein district, contains, Taching am See]
-
A.
Stadtsee
Stadtsee is a small lake located in the town of Bad Waldsee in southern Germany, known for its scenic setting and recreational use.
-
B.
Langer See
Langer See is a long, narrow lake in southeastern Berlin that forms part of the city’s interconnected Spree–Dahme waterway and is popular for boating and watersports.
-
C.
Tachinger See
chosen
Tachinger See is a small scenic lake in the Chiemgau region of Bavaria, Germany, known for swimming, fishing, and its tranquil natural surroundings.
-
D.
Plau am See
Plau am See is a small town and lakeside resort in the Mecklenburg Lake District of northern Germany, known for its natural scenery and water-based recreation.
-
E.
Pfäffikersee
Pfäffikersee is a small lake in the Swiss canton of Zürich known for its scenic surroundings, nature reserves, and recreational opportunities such as hiking and birdwatching.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f89a84c819085d4cfe4e6dfbda8 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16101372c8190bbd0bd3c2389298d |
completed | April 4, 2026, 7:05 p.m. |
Created at: March 30, 2026, 6:43 p.m.