Triple
T19620486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achensee |
E470991
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Innsbruck tourism region |
—
|
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: Innsbruck tourism region | Statement: [Achensee, partOf, Innsbruck tourism region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innsbruck tourism region Context triple: [Achensee, partOf, Innsbruck tourism region]
-
A.
Igls
Igls is an Austrian alpine village near Innsbruck known for its winter sports facilities and role in hosting Olympic events.
-
B.
Innsbruck
chosen
Innsbruck is a city in western Austria known for its Alpine setting and winter sports facilities, and it later successfully hosted the Winter Olympics in 1964 and 1976.
-
C.
Kufstein
Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
-
D.
Seefeld in Tirol
Seefeld in Tirol is an Austrian alpine resort town renowned for its winter sports facilities and role as a host location for Olympic Nordic skiing events.
-
E.
Zell am See
Zell am See is a popular Austrian alpine town and lakeside resort known for its scenic mountain setting, skiing, and outdoor recreation.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e512d08190a76bf81b3282e0e5 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:43 p.m.