Triple
T28662828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilaria festival |
E725511
|
entity |
| Predicate | honorsTitleOfCybele |
P172819
|
FINISHED |
| Object | Magna Mater |
—
|
NE NERFINISHED |
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: Magna Mater | Statement: [Hilaria festival, honorsTitleOfCybele, Magna Mater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsTitleOfCybele Context triple: [Hilaria festival, honorsTitleOfCybele, Magna Mater]
-
A.
cultTitleOfPersephone
Indicates that the subject holds a cultic or religious title specifically associated with the deity Persephone.
-
B.
honorsTitleOfSaint
Indicates that an entity recognizes or bestows the formal religious title of "saint" upon another entity.
-
C.
ancientTitle
Indicates that an entity holds or is associated with a title or designation originating from ancient times.
-
D.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
E.
selfBestowedTitle
Indicates that an entity has given a title or designation to itself, rather than receiving it from others.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 28, 2026, 4:59 a.m.