Triple
T31827786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durkheim’s lectures on moral education |
E812441
|
entity |
| Predicate | viewsSchoolAs |
P102849
|
FINISHED |
| Object | primary agency of moral socialization |
—
|
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: primary agency of moral socialization | Statement: [Durkheim’s lectures on moral education, viewsSchoolAs, primary agency of moral socialization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsSchoolAs Context triple: [Durkheim’s lectures on moral education, viewsSchoolAs, primary agency of moral socialization]
-
A.
viewOnOtherSchools
Indicates a relationship where one entity holds or expresses an opinion, perspective, or evaluation about other schools.
-
B.
viewOnEducation
Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
-
C.
viewsLearnerAs
Indicates that one entity perceives, regards, or treats another entity specifically in the role of a learner.
-
D.
viewsAs
chosen
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
E.
viewOnSchoolsOfLaw
Indicates the stance, opinion, or perspective that an entity holds regarding different schools of law or legal thought.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6af85698881908b2075ed9cd7e097 |
completed | May 3, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:47 p.m.