Triple
T30914321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peacemaker (Deganawida) |
E787536
|
entity |
| Predicate | centralThemeOfTeachings |
P106177
|
FINISHED |
| Object | peace |
—
|
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: peace | Statement: [Peacemaker (Deganawida), centralThemeOfTeachings, peace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeOfTeachings Context triple: [Peacemaker (Deganawida), centralThemeOfTeachings, peace]
-
A.
focusOfTeachings
chosen
Indicates that the object is the primary subject or central theme emphasized in the teachings of the subject.
-
B.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
C.
developsTeachingsOf
Indicates that one entity expands, elaborates, or builds upon the teachings or doctrines originally proposed by another entity.
-
D.
doctrinalTheme
Indicates that one entity concerns, expresses, or is characterized by a particular doctrinal or theological theme in relation to another.
-
E.
sharesTeachingsWith
Indicates that one entity communicates or imparts its knowledge, doctrines, or instructional content to another entity.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 29, 2026, 8:51 p.m.