Triple
T11690948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spe salvi facti sumus |
E277865
|
entity |
| Predicate | hasDocumentTitle |
P3254
|
FINISHED |
| Object | Spe salvi |
—
|
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: Spe salvi | Statement: [Spe salvi facti sumus, hasDocumentTitle, Spe salvi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDocumentTitle Context triple: [Spe salvi facti sumus, hasDocumentTitle, Spe salvi]
-
A.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
B.
containsTitle
chosen
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
C.
hasExplicitTitle
Indicates that an entity is associated with a clearly specified, formally stated title rather than an implicit or inferred one.
-
D.
hasTitleSubject
Indicates that an entity has a specific subject or topic as the focus of its title.
-
E.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47a3ddc819098e208611148d15b |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.