Triple
T10992701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic dioceses |
E259787
|
entity |
| Predicate | languageUsedInGovernance |
P50752
|
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: [Roman Catholic dioceses, languageUsedInGovernance, Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageUsedInGovernance Context triple: [Roman Catholic dioceses, languageUsedInGovernance, Latin]
-
A.
languageOfLegislature
Indicates the language or languages officially used by a legislature to conduct its proceedings, draft laws, and perform its formal functions.
-
B.
governingLanguage
chosen
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
-
C.
languageOfPromulgation
Indicates the language in which a law, decree, or official act is formally issued or proclaimed.
-
D.
historicallyDominantLanguageOfAdministrationIn
Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
-
E.
languageOfOriginalPromulgation
Indicates the language in which a law, regulation, or official text was originally formally issued or published.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d32f9081909def643571499521 |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.