Triple
T19846010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scientia est potentia |
E476860
|
entity |
| Predicate | verbTerm |
P24083
|
FINISHED |
| Object | est |
—
|
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: est | Statement: [Scientia est potentia, verbTerm, est]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verbTerm Context triple: [Scientia est potentia, verbTerm, est]
-
A.
verb
Indicates that an entity performs an action or is in a particular state relative to another entity or context.
-
B.
languageTerm
chosen
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
C.
verseForm
Indicates the specific structural or metrical pattern in which a verse or poem is composed.
-
D.
objectOfVerb
Indicates that one entity serves as the direct object or recipient of the action expressed by a given verb in a clause.
-
E.
hasVerbAspect
Indicates that a verb or verbal expression is associated with a particular grammatical aspect (such as perfective, imperfective, or progressive) describing the temporal structure of the action or state.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658091c608190b4eb9bcedd88e147 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.