Triple
T13653035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAMI Young Researcher Award |
E326785
|
entity |
| Predicate | fieldOfAwardingBody |
P74756
|
FINISHED |
| Object | pattern analysis and machine intelligence |
—
|
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: pattern analysis and machine intelligence | Statement: [PAMI Young Researcher Award, fieldOfAwardingBody, pattern analysis and machine intelligence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfAwardingBody Context triple: [PAMI Young Researcher Award, fieldOfAwardingBody, pattern analysis and machine intelligence]
-
A.
awardingBodyField
Indicates the organization or authority that grants or confers a particular award, qualification, or certification in the described relationship.
-
B.
locationOfAwardingBody
Indicates the place or venue where the awarding body confers or grants an award.
-
C.
awardingBodyDomain
chosen
Indicates that an entity functions as the domain or field of specialization in which an awarding body grants qualifications, certifications, or awards.
-
D.
degreeGrantingInstitution
Indicates the institution that formally awarded a particular academic degree to an entity.
-
E.
degreeAwardingFrameworkFor
Indicates that a particular degree-awarding framework is used as the basis or structure for granting a specified academic degree or qualification.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc609676c8190b5b1cabe6b315142 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.