Triple
T37309000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquarium of Zaragoza |
E926152
|
entity |
| Predicate | numberOfAquariums |
—
|
GENERATED |
| Object | 60+ |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAquariums Context triple: [Aquarium of Zaragoza, numberOfAquariums, 60+]
-
A.
aquariumCount
chosen
Indicates the number of aquariums associated with a given entity.
-
B.
aquarium
Indicates that an entity is an aquarium, i.e., a container or facility where aquatic organisms are kept or displayed.
-
C.
aquariumName
Indicates that an entity has the specified name of an aquarium.
-
D.
aquariumPopularity
Indicates how popular or frequently visited an aquarium is relative to others or over time.
-
E.
seaAquariumOpeningDate
Indicates the calendar date on which a sea aquarium first opened to the public.
- F. None of above.
Provenance (1 batch)
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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.