Triple
T23246726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyrie–Gloria–Credo–Sanctus–Agnus Dei |
E581601
|
entity |
| Predicate | languageTraditionally |
P151529
|
FINISHED |
| Object | Latin |
—
|
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: Latin | Statement: [Kyrie–Gloria–Credo–Sanctus–Agnus Dei, languageTraditionally, Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageTraditionally Context triple: [Kyrie–Gloria–Credo–Sanctus–Agnus Dei, languageTraditionally, Latin]
-
A.
languageFamilyTraditional
Indicates that one entity belongs to, or is classified under, the traditional language family of the other entity.
-
B.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject entity.
-
C.
laterTraditionsLanguage
Indicates that later traditions or sources refer to or describe the subject using the specified language.
-
D.
languageTraditions
Indicates that there is a relationship between entities involving the customs, practices, and conventions associated with the use, preservation, or transmission of a particular language.
-
E.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f1e8448190b8420a8dc6e24576 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:10 p.m.