Triple
T9575990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Living Seas |
E231046
|
entity |
| Predicate | aquariumVolume |
P13057
|
FINISHED |
| Object | 5700000 US gallons |
—
|
LITERAL 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: 5700000 US gallons | Statement: [The Living Seas, aquariumVolume, 5700000 US gallons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquariumVolume Context triple: [The Living Seas, aquariumVolume, 5700000 US gallons]
-
A.
waterVolume
chosen
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
B.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
C.
aquariumName
Indicates that an entity has the specified name of an aquarium.
-
D.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
-
E.
hasAquariumType
Indicates that an entity is associated with, or classified by, a specific type or category of aquarium.
- F. None of above.
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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.