Triple
T4686408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | uShaka Marine World |
E103930
|
entity |
| Predicate | aquariumType |
P35687
|
FINISHED |
| Object | shipwreck-themed aquarium |
—
|
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: shipwreck-themed aquarium | Statement: [uShaka Marine World, aquariumType, shipwreck-themed aquarium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquariumType Context triple: [uShaka Marine World, aquariumType, shipwreck-themed aquarium]
-
A.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
B.
hasAquariumType
chosen
Indicates that an entity is associated with, or classified by, a specific type or category of aquarium.
-
C.
aquariumName
Indicates that an entity has the specified name of an aquarium.
-
D.
aquariumTrade
Indicates that an entity is involved in the commercial trade or collection of organisms for keeping in aquariums.
-
E.
containsAquariumFish
Indicates that one entity includes or holds aquarium fish within it.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.