Triple
T29250244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Thanh Hoa |
E741543
|
entity |
| Predicate | primaryLocalLanguageOfWorship |
P3115
|
FINISHED |
| Object | Vietnamese |
—
|
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: Vietnamese | Statement: [Diocese of Thanh Hoa, primaryLocalLanguageOfWorship, Vietnamese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLocalLanguageOfWorship Context triple: [Diocese of Thanh Hoa, primaryLocalLanguageOfWorship, Vietnamese]
-
A.
languageOfWorship
chosen
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
B.
primaryLocalLanguageFamily
Indicates the main linguistic family to which the predominant local language of an entity belongs.
-
C.
secondaryLanguageInLiturgy
Indicates that a particular language is used as a secondary (non-primary) language within a liturgical or worship context.
-
D.
languageOfParish
Indicates the language predominantly used or officially recognized within a given parish.
-
E.
dominantLocalLanguage
Indicates that one language is the primary or most widely used language within a specific local area or community.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a00cda99c908190980e0bf54cb2e2a4 |
completed | May 10, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a00cd1635b08190a791ecfcf87a1d54 |
completed | May 10, 2026, 6:23 p.m. |
Created at: April 28, 2026, 12:34 p.m.