Triple
T2278536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Totus Tuus |
E51227
|
entity |
| Predicate | longForm |
P2351
|
FINISHED |
| Object | Totus Tuus ego sum et omnia mea tua sunt |
—
|
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: Totus Tuus ego sum et omnia mea tua sunt | Statement: [Totus Tuus, longForm, Totus Tuus ego sum et omnia mea tua sunt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longForm Context triple: [Totus Tuus, longForm, Totus Tuus ego sum et omnia mea tua sunt]
-
A.
longTitle
Indicates that an entity has an extended or full-length title associated with it.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
longVersionLength
Indicates that one entity specifies the length or duration of a more detailed or extended version of another entity.
-
D.
standardFormulation
Indicates that something is expressed or represented in a conventional, officially accepted, or commonly used form or version.
-
E.
hasFullForm
chosen
Indicates that one entity is the complete, expanded, or unabbreviated form of 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc217b6648190be77d2176d322efd |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.