Triple
T6697212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wavre |
E152779
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Aqualibi
Aqualibi is a popular indoor water park in Wavre, Belgium, known for its slides, pools, and family-friendly aquatic attractions.
|
E610591
|
NE FINISHED |
How this triple was built (4 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: Aqualibi | Statement: [Wavre, hasAttraction, Aqualibi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aqualibi Context triple: [Wavre, hasAttraction, Aqualibi]
-
A.
Aquatica
Aquatica is a chain of water parks owned and operated by SeaWorld Parks & Entertainment, known for combining high-thrill water attractions with marine life themes.
-
B.
Herkulesbad
Herkulesbad is the German name for Băile Herculane, a historic spa town in southwestern Romania famed for its thermal baths and Roman-era heritage.
-
C.
Tamina Therme
Tamina Therme is a renowned thermal spa complex in Bad Ragaz, Switzerland, known for its healing hot springs, modern wellness facilities, and alpine setting.
-
D.
Aqualab
Aqualab is an educational water-themed science and nature discovery center located within the National Botanic Garden of Wales.
-
E.
LaQua spa complex
LaQua spa complex is a large urban hot spring and entertainment facility in Tokyo featuring natural onsen baths, relaxation areas, shopping, and dining.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aqualibi Triple: [Wavre, hasAttraction, Aqualibi]
Generated description
Aqualibi is a popular indoor water park in Wavre, Belgium, known for its slides, pools, and family-friendly aquatic attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aqualibi Target entity description: Aqualibi is a popular indoor water park in Wavre, Belgium, known for its slides, pools, and family-friendly aquatic attractions.
-
A.
Aquatica
Aquatica is a chain of water parks owned and operated by SeaWorld Parks & Entertainment, known for combining high-thrill water attractions with marine life themes.
-
B.
Herkulesbad
Herkulesbad is the German name for Băile Herculane, a historic spa town in southwestern Romania famed for its thermal baths and Roman-era heritage.
-
C.
Tamina Therme
Tamina Therme is a renowned thermal spa complex in Bad Ragaz, Switzerland, known for its healing hot springs, modern wellness facilities, and alpine setting.
-
D.
Aqualab
Aqualab is an educational water-themed science and nature discovery center located within the National Botanic Garden of Wales.
-
E.
LaQua spa complex
LaQua spa complex is a large urban hot spring and entertainment facility in Tokyo featuring natural onsen baths, relaxation areas, shopping, and dining.
- F. None of above. chosen
Provenance (5 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a4da9881908d79c410b4cff868 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f86fb37c8190ba0ed52d998643d6 |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8d6c9d481908d988984e0aed6bc |
completed | March 27, 2026, 9:38 p.m. |
Created at: March 27, 2026, 2:05 p.m.