Triple
T36988540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caravaggio |
E915029
|
entity |
| Predicate | shuttledToStud |
P186866
|
FINISHED |
| Object | Australia |
—
|
NE NERFINISHED |
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: Australia | Statement: [Caravaggio, shuttledToStud, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shuttledToStud Context triple: [Caravaggio, shuttledToStud, Australia]
-
A.
stoodAtStudIn
Indicates that an animal was placed or kept at a particular stud location for breeding purposes.
-
B.
stoodAtStudAt
Indicates that one entity was positioned or located at a particular stud (e.g., structural post or support point).
-
C.
enteredStud
Indicates that a student has enrolled in or begun attending a particular course, program, or institution.
-
D.
retiredToStudAt
Indicates that an entity has retired from a prior role or activity and subsequently moved to or enrolled at a particular place of study.
-
E.
exportedForStudDutyTo
Indicates that an entity has been sent or assigned to another entity specifically for student duty or student-related service.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.