Triple
T34334420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ave Maria, mater Dei |
E881104
|
entity |
| Predicate | textLanguageFamily |
P156941
|
FINISHED |
| Object | Romance languages |
—
|
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: Romance languages | Statement: [Ave Maria, mater Dei, textLanguageFamily, Romance languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textLanguageFamily Context triple: [Ave Maria, mater Dei, textLanguageFamily, Romance languages]
-
A.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
B.
titleLanguageFamily
chosen
Indicates the language family in which a given title is expressed or classified.
-
C.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
D.
languageFamilyAssociation
Indicates an association where one entity belongs to, is classified under, or is related to a particular language family.
-
E.
languageIsolateFamily
Indicates that a language belongs to a language family that has no demonstrable genetic relationship to any other known language family.
- 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_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:58 a.m.