Triple
T11205296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of Public Policy |
E265144
|
entity |
| Predicate | mayOfferConcentrationIn |
P97848
|
FINISHED |
| Object | social policy |
—
|
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: social policy | Statement: [Master of Public Policy, mayOfferConcentrationIn, social policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayOfferConcentrationIn Context triple: [Master of Public Policy, mayOfferConcentrationIn, social policy]
-
A.
mayBeConferredAs
Indicates that something has the potential or authorization to be formally granted or bestowed upon an entity under certain conditions.
-
B.
mayConduct
Indicates that one entity is permitted or authorized to carry out, perform, or execute a particular action, process, or operation on or with another entity.
-
C.
mayServe
Indicates that one entity is permitted or authorized to provide a service or function to another entity.
-
D.
mayEngageIn
Indicates that one entity is permitted or authorized to participate in or perform a particular activity or interaction with another entity.
-
E.
mayPresent
Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d4eef88190a7f05bca82d919b9 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.