Triple
T22377802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esquiline Venus |
E553192
|
entity |
| Predicate | subjectHasMythology |
P9595
|
FINISHED |
| Object | Roman mythology |
—
|
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: Roman mythology | Statement: [Esquiline Venus, subjectHasMythology, Roman mythology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectHasMythology Context triple: [Esquiline Venus, subjectHasMythology, Roman mythology]
-
A.
mythologicalContent
Indicates that the subject contains, references, or is associated with myths, mythological narratives, or myth-based elements.
-
B.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
C.
linkedToMythology
chosen
Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
-
D.
hasMythologicalBasis
Indicates that something is founded on, derived from, or significantly influenced by a mythological story, figure, or tradition.
-
E.
hasMythologicalDomain
Indicates that a mythological figure, deity, or entity is associated with or rules over a particular conceptual or physical domain (such as the sea, war, or the underworld).
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158292d80819094f474c0e9e14caf |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.