Triple
T1269888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enlightenment encyclopedism |
E15684
|
entity |
| Predicate | hasAim |
P1415
|
FINISHED |
| Object | education of a broad reading public |
—
|
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: education of a broad reading public | Statement: [Enlightenment encyclopedism, hasAim, education of a broad reading public]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAim Context triple: [Enlightenment encyclopedism, hasAim, education of a broad reading public]
-
A.
warAim
Indicates the strategic objective or intended outcome that a party seeks to achieve through engaging in war or armed conflict.
-
B.
aimsToMeasure
Indicates that one entity is intended or designed to quantify, assess, or evaluate another entity or property.
-
C.
hasPrimaryGoal
chosen
Indicates that an entity’s main or most important objective is the specified goal.
-
D.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
E.
hasChamber
Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c0691d70819088e57c78ff34af1e |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.