Triple
T422404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shedd Aquarium |
E8131
|
entity |
| Predicate | hasAnimal |
P13551
|
FINISHED |
| Object | fish |
—
|
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: fish | Statement: [Shedd Aquarium, hasAnimal, fish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimal Context triple: [Shedd Aquarium, hasAnimal, fish]
-
A.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
B.
pet
Indicates that one entity keeps another animal for companionship or pleasure, typically providing care and shelter.
-
C.
numberOfAnimals
Indicates the quantity of animals associated with a given entity or context.
-
D.
notableDomesticatedSpecies
Indicates that the subject is a species that is particularly well-known or significant as a domesticated animal.
-
E.
hasOfficialStateAnimal
Indicates that a political entity has a formally designated animal recognized as its official state symbol.
- F. None of above. chosen
Provenance (4 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec0e9dc81908c08b209ce5278ef |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd5439c8190aea661b8b4aa51e9 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.