Triple
T4758857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agrae near Athens |
E105652
|
entity |
| Predicate | hasTypeOfMysteries |
P20846
|
FINISHED |
| Object | Lesser Mysteries |
—
|
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: Lesser Mysteries | Statement: [Agrae near Athens, hasTypeOfMysteries, Lesser Mysteries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfMysteries Context triple: [Agrae near Athens, hasTypeOfMysteries, Lesser Mysteries]
-
A.
hasMystery
Indicates that one entity possesses, contains, or is associated with something unknown, secret, or unexplained in relation to another entity.
-
B.
numberOfMysteries
Indicates the quantity or count of mysteries associated with a given entity.
-
C.
hadGreaterMysteries
Indicates that one entity possessed or was associated with more profound, secret, or advanced mysteries than another entity.
-
D.
mysterySet
Indicates that an entity belongs to a collection or group whose nature, contents, or defining criteria are unknown or intentionally unspecified.
-
E.
hadLesserMysteries
chosen
Indicates that an entity conducted, possessed, or was associated with the “lesser mysteries,” typically a preliminary or lower-tier set of ritualistic or esoteric practices in relation to another entity or context.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650c11f4819098cd1f490f711dc8 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.