Triple
T34859313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeus Karios |
E1004820
|
entity |
| Predicate | hasTheonymElement |
P71338
|
FINISHED |
| Object | Zeus |
—
|
NE NERFINISHED |
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: Zeus | Statement: [Zeus Karios, hasTheonymElement, Zeus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTheonymElement Context triple: [Zeus Karios, hasTheonymElement, Zeus]
-
A.
hasEponymType
Indicates that something is associated with or classified by a particular type of eponym (a name derived from a person).
-
B.
usesTheonym
chosen
Indicates that one entity refers to or designates another entity by using a theonym, i.e., the proper name of a deity.
-
C.
hasMythologicalNamesake
Indicates that one entity is named after, or shares its name with, a figure or element from mythology.
-
D.
hasPantheonName
Indicates that an entity is associated with a specific pantheon and is identified by the given pantheon name.
-
E.
hasEponymField
Indicates that something (such as a concept, object, or entity) is named after a particular person or eponym.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4 p.m.