Triple
T34334414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ave Maria, mater Dei |
E881104
|
entity |
| Predicate | hasTitleIncipit |
P65893
|
FINISHED |
| Object | Ave Maria, mater Dei |
—
|
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: Ave Maria, mater Dei | Statement: [Ave Maria, mater Dei, hasTitleIncipit, Ave Maria, mater Dei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleIncipit Context triple: [Ave Maria, mater Dei, hasTitleIncipit, Ave Maria, mater Dei]
-
A.
hasTitleIn
chosen
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
B.
isTitled
Indicates that an entity holds or is assigned a specific formal title or designation.
-
C.
hasPrologueInTitle
Indicates that a work’s title explicitly includes the word “Prologue” or a prologue-related phrase.
-
D.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
E.
hasTitleInInscription
Indicates that an entity is mentioned with a specific title or designation within an inscription.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 1, 2026, 1:58 a.m.