Triple
T15943351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American International Rattlesnake Museum |
E386619
|
entity |
| Predicate | hasAnimalClass |
P121067
|
FINISHED |
| Object | snakes |
—
|
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: snakes | Statement: [American International Rattlesnake Museum, hasAnimalClass, snakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalClass Context triple: [American International Rattlesnake Museum, hasAnimalClass, snakes]
-
A.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
B.
hasAnimalActor
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
C.
hasMammalSpecies
Indicates that one entity includes, contains, or is associated with a particular mammal species as part of its composition, population, or classification.
-
D.
hasCamelSpecies
Indicates that one entity is a camel and the other specifies the biological species to which that camel belongs.
-
E.
animalComponent
Indicates that one entity is a physical or functional part, piece, or constituent of an animal.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:53 a.m.