Triple
T27641219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Craftsman Program |
E696591
|
entity |
| Predicate | studyMaterialIncludes |
P10464
|
FINISHED |
| Object | Masonic literature |
—
|
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: Masonic literature | Statement: [Master Craftsman Program, studyMaterialIncludes, Masonic literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studyMaterialIncludes Context triple: [Master Craftsman Program, studyMaterialIncludes, Masonic literature]
-
A.
courseIncludes
Indicates that a course contains or covers a particular component, such as a topic, module, lesson, or resource.
-
B.
curriculumIncluded
Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
-
C.
includesInstruction
Indicates that one entity contains, provides, or embeds an instruction or set of instructions directed toward another entity.
-
D.
hasEducationalMaterial
chosen
Indicates that an entity provides, contains, or is associated with educational content or learning resources for another entity.
-
E.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:26 p.m.