Triple
T11630445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzkammergut (Upper Austrian part) |
E276381
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bad Ischl |
E76662
|
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: Bad Ischl | Statement: [Salzkammergut (Upper Austrian part), hasPart, Bad Ischl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Ischl Context triple: [Salzkammergut (Upper Austrian part), hasPart, Bad Ischl]
-
A.
Ischl
The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
-
B.
Bad Ischl, Austria
chosen
Bad Ischl, Austria is a historic spa town in the Salzkammergut region, renowned as a former summer residence of Emperor Franz Joseph I and a popular health resort.
-
C.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
D.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
E.
Patersdorf
Patersdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a7133d88190813a1e74ef310993 |
completed | May 2, 2026, 4:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.