Triple
T16576967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Dionysus in the Marshes |
E402736
|
entity |
| Predicate | associatedWithMythTheme |
P9595
|
FINISHED |
| Object | wine |
—
|
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: wine | Statement: [Sanctuary of Dionysus in the Marshes, associatedWithMythTheme, wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMythTheme Context triple: [Sanctuary of Dionysus in the Marshes, associatedWithMythTheme, wine]
-
A.
linkedToMythology
chosen
Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
-
B.
sharesMythosWith
Indicates that two entities are associated with, or originate from, the same mythological tradition, narrative system, or shared set of myths.
-
C.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
D.
usesMythOf
Indicates that one entity employs or invokes a myth or mythical narrative about another entity as part of its actions, explanations, or representations.
-
E.
relatedMythicalPlace
Indicates that one entity has an association or connection with a mythical or legendary place in relation to the other entity.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595dd90881909933216bd12505e1 |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.