Triple
T34682007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SDB |
E890645
|
entity |
| Predicate | usedWorldwideBy |
P179614
|
FINISHED |
| Object | Salesians of Don Bosco |
—
|
NE NERFINISHED |
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: Salesians of Don Bosco | Statement: [SDB, usedWorldwideBy, Salesians of Don Bosco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWorldwideBy Context triple: [SDB, usedWorldwideBy, Salesians of Don Bosco]
-
A.
usedWorldwide
Indicates that something is utilized or applied across many countries or regions around the world.
-
B.
usedByCountriesWith
Indicates that something (such as an item, system, or practice) is utilized or employed by one or more specified countries in common.
-
C.
usedByOtherCountries
Indicates that something (such as a method, resource, or technology) is utilized or adopted by countries other than the one primarily associated with it.
-
D.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
-
E.
widelyUsedIn
Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7232925e48190b6ecd37927325057 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 2:05 a.m.