Triple
T4876010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triberg |
E109205
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Triberg Waterfalls |
E477478
|
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: Triberg Waterfalls | Statement: [Triberg, hasTouristAttraction, Triberg Waterfalls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triberg Waterfalls Context triple: [Triberg, hasTouristAttraction, Triberg Waterfalls]
-
A.
Triberg Waterfalls
chosen
Triberg Waterfalls are one of Germany’s highest and most famous waterfalls, located in the Black Forest and renowned for their scenic, multi-tiered cascades.
-
B.
Krimml Waterfalls
Krimml Waterfalls is a famous multi-tiered waterfall in the Austrian Alps, renowned as one of Europe’s highest and a major natural attraction.
-
C.
Trümmelbach Falls
Trümmelbach Falls is a series of powerful glacier-fed waterfalls hidden inside a mountain in the Swiss Alps, accessible through tunnels and walkways.
-
D.
Toraille Waterfall
Toraille Waterfall is a popular scenic cascade and swimming spot in Saint Lucia, known for its lush rainforest setting and easy accessibility to visitors.
-
E.
Düden Waterfalls
Düden Waterfalls is a famous series of picturesque cascades near Antalya, Turkey, where the Düden River dramatically plunges through lush greenery and cliffs into the Mediterranean Sea.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dba3efc8190adcf8b30490b4984 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fb5da2c8190aeec7d6d11b12b11 |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:27 p.m.