Triple
T8241068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleinias |
E192534
|
entity |
| Predicate | educationalRoleInText |
P4140
|
FINISHED |
| Object | student figure |
—
|
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: student figure | Statement: [Cleinias, educationalRoleInText, student figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalRoleInText Context triple: [Cleinias, educationalRoleInText, student figure]
-
A.
hasEducationalRole
chosen
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
B.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
C.
educationalContext
Indicates the situational or institutional setting in which an educational activity, interaction, or resource takes place.
-
D.
educationPolicyRole
Indicates a role in creating, influencing, or implementing education-related policies or regulations.
-
E.
educationalImportance
Indicates the degree to which something is significant, valuable, or impactful in an educational or learning context.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783e13648190abf34eb8c244ea17 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.