Triple
T9891852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Agriculture |
E181467
|
entity |
| Predicate | includesSpecialization |
P76959
|
FINISHED |
| Object | crop science |
—
|
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: crop science | Statement: [Master of Agriculture, includesSpecialization, crop science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSpecialization Context triple: [Master of Agriculture, includesSpecialization, crop science]
-
A.
allowsSpecializationIn
chosen
Indicates that one entity grants permission or provides the option for another entity to pursue a specific specialization within it.
-
B.
isSpecializedFor
Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
-
C.
branchSpecialization
Indicates that one branch or subdivision is specialized or focused in a particular area, function, or domain relative to others.
-
D.
specializationOrder
Indicates that one entity is a more specific or specialized version of another within a hierarchical ordering of concepts or types.
-
E.
includesSpecialParallel
Indicates that one entity contains or incorporates another entity in a way that involves a designated special type of parallel relationship or structure between them.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47f69588190924a078ea88c97ef |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.