Triple
T25887398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puan Maharani |
E652226
|
entity |
| Predicate | receivedHonoraryDegreeFrom |
P2837
|
FINISHED |
| Object | Diponegoro University |
—
|
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: Diponegoro University | Statement: [Puan Maharani, receivedHonoraryDegreeFrom, Diponegoro University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedHonoraryDegreeFrom Context triple: [Puan Maharani, receivedHonoraryDegreeFrom, Diponegoro University]
-
A.
hasHonoraryDegreeFrom
chosen
Indicates that an individual has been awarded an honorary degree by a particular institution.
-
B.
honorificDegree
Indicates that an entity has been awarded an honorary academic degree or title, typically in recognition of merit rather than completion of formal study.
-
C.
honoredAtInstitution
Indicates that an entity has been formally recognized or honored by a particular institution.
-
D.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
E.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 8:18 a.m.