Triple
T3492994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leander of Seville |
E73779
|
entity |
| Predicate | helpedConvert |
P48719
|
FINISHED |
| Object | Visigothic nobility to Catholicism |
—
|
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: Visigothic nobility to Catholicism | Statement: [Leander of Seville, helpedConvert, Visigothic nobility to Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedConvert Context triple: [Leander of Seville, helpedConvert, Visigothic nobility to Catholicism]
-
A.
convertedBy
Indicates that one entity has been transformed or changed in form, state, or representation through the action or process performed by another entity.
-
B.
convertsTo
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
C.
conversionProcess
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
-
D.
convertedFor
Indicates that one entity has been transformed, adapted, or reformatted specifically for use, compatibility, or suitability with another entity.
-
E.
freelyConvertible
Indicates that one entity can be exchanged or converted into another without restrictions, limitations, or significant barriers.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbad51648190b756ad621d6d7df0 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb055ed2481908171effe28151cf9 |
completed | March 8, 2026, 5:22 p.m. |
Created at: March 8, 2026, 3:18 p.m.