Triple
T26352048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Eustachius |
E662926
|
entity |
| Predicate | hasCultOrigin |
P175961
|
FINISHED |
| Object | probably Eastern Mediterranean |
—
|
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: probably Eastern Mediterranean | Statement: [Saint Eustachius, hasCultOrigin, probably Eastern Mediterranean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCultOrigin Context triple: [Saint Eustachius, hasCultOrigin, probably Eastern Mediterranean]
-
A.
hasCultPredecessor
Indicates that one cult, tradition, or religious practice is considered to be derived from, influenced by, or historically preceded by another cult.
-
B.
hasCultSince
Indicates that an entity has had an organized group of devoted followers (a cult) continuously since a specified time or date.
-
C.
hasCultOrLegend
Indicates that an entity is associated with, or is the subject of, a cult, myth, or legendary tradition.
-
D.
hasCultFeature
Indicates that an entity possesses a characteristic, attribute, or element associated with cultic or ritual practices.
-
E.
hasMysteryCult
Indicates that an entity is associated with, participates in, or possesses a mystery cult, typically involving secret or esoteric religious practices.
- F. None of above. chosen
Provenance (4 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 26, 2026, 10:46 p.m.