Triple
T20828757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delfinario de Varadero |
E512770
|
entity |
| Predicate | animalInteractionType |
P102445
|
FINISHED |
| Object | in-water interaction |
—
|
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: in-water interaction | Statement: [Delfinario de Varadero, animalInteractionType, in-water interaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalInteractionType Context triple: [Delfinario de Varadero, animalInteractionType, in-water interaction]
-
A.
wildlifeInteractionType
chosen
Indicates the type or nature of interaction occurring between wildlife and another entity (such as humans, other animals, or the environment).
-
B.
involvedAnimal
Indicates that an animal participates in, is affected by, or is otherwise directly connected to the event or situation described.
-
C.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
D.
animalBuddy
Indicates that one entity is a close animal companion or friend of another entity.
-
E.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c31e387481909fcf323f97019803 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:42 p.m.