Triple
T7364109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Per-Bast |
E169822
|
entity |
| Predicate | cultFocus |
P61308
|
FINISHED |
| Object | Bastet in her cat form |
—
|
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: Bastet in her cat form | Statement: [Per-Bast, cultFocus, Bastet in her cat form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultFocus Context triple: [Per-Bast, cultFocus, Bastet in her cat form]
-
A.
cultAspect
chosen
Indicates that one entity represents a specific aspect, facet, or manifestation of a cult associated with another entity.
-
B.
cultFunction
Indicates that one entity serves as a religious or ritual function, role, or purpose in relation to another entity within a cultic or worship context.
-
C.
centerOfCult
Indicates that the subject functions as the primary focus or core figure around which a cult is organized or devoted.
-
D.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
E.
countryOfCult
Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.