Triple
T5893320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best |
E131041
|
entity |
| Predicate | hasRecreationArea |
P5383
|
FINISHED |
| Object |
AquaBest
AquaBest is a recreational lake and leisure park in the Netherlands known for swimming, water sports, and outdoor events.
|
E554097
|
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: AquaBest | Statement: [Best, hasRecreationArea, AquaBest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AquaBest Context triple: [Best, hasRecreationArea, AquaBest]
-
A.
Aquaracer
Aquaracer is a TAG Heuer line of luxury sports watches designed for professional-grade water resistance and diving performance.
-
B.
Fishke
Fishke is the titular lame Jewish protagonist of Mendele Mocher Sforim’s classic Yiddish novel "Fishke the Lame," known for its blend of social critique and folk humor.
-
C.
Fishnish
Fishnish is a small ferry port on the Isle of Mull in Scotland, serving as a key vehicle and passenger link across the Sound of Mull.
-
D.
AquaTropic
AquaTropic is a seaside water park in Almuñécar, Spain, known for its saltwater pools and family-friendly attractions.
-
E.
Aqualab
Aqualab is an educational water-themed science and nature discovery center located within the National Botanic Garden of Wales.
- 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: AquaBest Triple: [Best, hasRecreationArea, AquaBest]
Generated description
AquaBest is a recreational lake and leisure park in the Netherlands known for swimming, water sports, and outdoor events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AquaBest Target entity description: AquaBest is a recreational lake and leisure park in the Netherlands known for swimming, water sports, and outdoor events.
-
A.
Aquaracer
Aquaracer is a TAG Heuer line of luxury sports watches designed for professional-grade water resistance and diving performance.
-
B.
Fishke
Fishke is the titular lame Jewish protagonist of Mendele Mocher Sforim’s classic Yiddish novel "Fishke the Lame," known for its blend of social critique and folk humor.
-
C.
Fishnish
Fishnish is a small ferry port on the Isle of Mull in Scotland, serving as a key vehicle and passenger link across the Sound of Mull.
-
D.
AquaTropic
AquaTropic is a seaside water park in Almuñécar, Spain, known for its saltwater pools and family-friendly attractions.
-
E.
Aqualab
Aqualab is an educational water-themed science and nature discovery center located within the National Botanic Garden of Wales.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b5c68481909fdcba428238c74d |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b15146888190ab86eaf9e565ee28 |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b53ad6dc8190927653c470515963 |
completed | March 23, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b5de67208190b1dda9509767c2a7 |
completed | March 23, 2026, 3:39 a.m. |
Created at: March 22, 2026, 3:58 p.m.