Triple
T22173898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erotes |
E547991
|
entity |
| Predicate | frequentlyAppearIn |
P46711
|
FINISHED |
| Object | Greek vase painting |
—
|
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: Greek vase painting | Statement: [Erotes, frequentlyAppearIn, Greek vase painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentlyAppearIn Context triple: [Erotes, frequentlyAppearIn, Greek vase painting]
-
A.
isFrequentlyIncludedIn
chosen
Indicates that something is regularly or commonly contained or made part of something else.
-
B.
frequentlyAssignedIn
Indicates that something is regularly or repeatedly designated or allocated within a particular context, task, or setting.
-
C.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
-
D.
frequentOccasion
Indicates that a particular event, situation, or condition occurs repeatedly or commonly over time.
-
E.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6a9370819098ad65fede676c2b |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.