Triple
T35864010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydian pantheon |
E1037031
|
entity |
| Predicate | includesCultType |
P31473
|
FINISHED |
| Object | state cults |
—
|
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: state cults | Statement: [Lydian pantheon, includesCultType, state cults]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCultType Context triple: [Lydian pantheon, includesCultType, state cults]
-
A.
collectionIncludesCulture
Indicates that a collection contains, represents, or is associated with a particular culture.
-
B.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
C.
hasCultFeature
Indicates that an entity possesses a characteristic, attribute, or element associated with cultic or ritual practices.
-
D.
typeOfCult
chosen
Indicates that one entity is a specific kind or category of cult relative to another entity.
-
E.
culturalAreaIncludes
Indicates that a broader cultural area encompasses or contains a smaller cultural region or entity within its scope.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.