Triple
T5443978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybele |
E122201
|
entity |
| Predicate | galliDescription |
P59827
|
FINISHED |
| Object | eunuch priests of Cybele |
—
|
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: eunuch priests of Cybele | Statement: [Cybele, galliDescription, eunuch priests of Cybele]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: galliDescription Context triple: [Cybele, galliDescription, eunuch priests of Cybele]
-
A.
FrenchFlagship
Indicates that an entity serves as the primary or leading representative (flagship) of France in a given domain or context.
-
B.
officiallyDescribedAs
Indicates that an entity is formally characterized or defined using a specific description in an official or authoritative context.
-
C.
FrenchSide
Indicates that an entity is positioned on, associated with, or belongs to the French side of a border, division, or relationship.
-
D.
depictsVercingetorixAs
Indicates that something portrays or represents Vercingetorix in a particular way or role.
-
E.
gudiDescription
chosen
Indicates that the entity is associated with or characterized by a specific description or textual explanation.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.