Triple
T19748249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Giuseppe Lavoratore |
E474308
|
entity |
| Predicate | devotionLanguage |
P136332
|
FINISHED |
| Object | Italian-speaking Catholics |
—
|
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: Italian-speaking Catholics | Statement: [San Giuseppe Lavoratore, devotionLanguage, Italian-speaking Catholics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devotionLanguage Context triple: [San Giuseppe Lavoratore, devotionLanguage, Italian-speaking Catholics]
-
A.
devotionalLanguageType
Indicates the type or category of language used in a devotional or religious context.
-
B.
languageOfDevotees
chosen
Indicates the language commonly used or spoken by a group of devotees in their religious or devotional practices.
-
C.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
D.
devotionPracticedBy
Indicates that a particular form of devotion, worship, or religious practice is performed or carried out by a specified agent or practitioner.
-
E.
religiousTextLanguageOf
Indicates that a particular language is the language in which a given religious text is written or primarily expressed.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.