Triple
T12110298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Educate. Inspire. Preserve. |
E288409
|
entity |
| Predicate | hasComponentVerb |
P103342
|
FINISHED |
| Object | Educate |
—
|
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: Educate | Statement: [Educate. Inspire. Preserve., hasComponentVerb, Educate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentVerb Context triple: [Educate. Inspire. Preserve., hasComponentVerb, Educate]
-
A.
hasVerbClass
Indicates that an action or event is categorized into a specific verb class based on its grammatical or semantic behavior.
-
B.
hasVerbSystemFrom
Indicates that one language or linguistic system derives or adopts its verb system from another source language or system.
-
C.
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.
-
D.
hasComponentForm
Indicates that one entity exists as a structural or compositional form or variant of another entity.
-
E.
associatedWithVerb
Indicates that one entity is connected or linked to another through some verb-based relationship or action.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916481a008190ae66677b9e6dd961 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:49 p.m.