Triple
T4296256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenaia |
E99719
|
entity |
| Predicate | primaryDeityType |
P7648
|
FINISHED |
| Object | Dionysus as god of 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: Dionysus as god of wine | Statement: [Lenaia, primaryDeityType, Dionysus as god of wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDeityType Context triple: [Lenaia, primaryDeityType, Dionysus as god of wine]
-
A.
mainDeity
chosen
Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
-
B.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
C.
patronDeityOf
Indicates that one entity serves as the protective or primary deity associated with, worshipped by, or presiding over another entity (such as a person, group, or place).
-
D.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
E.
otherDeity
Indicates that one deity is distinct from and not identical to another deity within a given context or system.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509aebd48190af38f2e37f07869a |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.