Triple
T5759258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parvati Patil |
E127046
|
entity |
| Predicate | petTypeAtSchool |
P45030
|
FINISHED |
| Object | owl (implied in books) |
—
|
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: owl (implied in books) | Statement: [Parvati Patil, petTypeAtSchool, owl (implied in books)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: petTypeAtSchool Context triple: [Parvati Patil, petTypeAtSchool, owl (implied in books)]
-
A.
speciesOfPet
chosen
Indicates that one entity is the species or kind of animal that the other entity is kept as a pet.
-
B.
pet
Indicates that one entity keeps another animal for companionship or pleasure, typically providing care and shelter.
-
C.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
D.
hasSchoolCategory
Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
-
E.
animalTypeLoved
Indicates that one entity loves or is especially fond of animals of a particular type.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0293771ec8190a0082685327d649b |
completed | March 22, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.