Triple
T2458309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What is Enlightenment? |
E54472
|
entity |
| Predicate | privateUseOfReasonDefinedAs |
P40617
|
FINISHED |
| Object | use of reason within a civil post or office |
—
|
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: use of reason within a civil post or office | Statement: [What is Enlightenment?, privateUseOfReasonDefinedAs, use of reason within a civil post or office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privateUseOfReasonDefinedAs Context triple: [What is Enlightenment?, privateUseOfReasonDefinedAs, use of reason within a civil post or office]
-
A.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
B.
definesUseOf
Indicates that one entity specifies or determines how another entity is to be used or applied.
-
C.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
D.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
E.
usedInCase
Indicates that something (such as an item, method, or piece of information) is employed or applied within a particular case or instance.
- F. None of above. chosen
Provenance (4 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.