Triple
T35742162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gesù Nuovo |
E1033065
|
entity |
| Predicate | convertedToChurchBy |
P46584
|
FINISHED |
| Object | Jesuits |
—
|
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: Jesuits | Statement: [Gesù Nuovo, convertedToChurchBy, Jesuits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToChurchBy Context triple: [Gesù Nuovo, convertedToChurchBy, Jesuits]
-
A.
convertedToChurch
chosen
Indicates that something has been transformed or repurposed into a church.
-
B.
convertedToCathedral
Indicates that a building or structure has been transformed or repurposed into a cathedral.
-
C.
convertedToCarthusianMonasteryIn
Indicates that something was transformed into a Carthusian monastery in a specific place or at a specific time.
-
D.
convertedToReligion
Indicates that an entity adopted or changed to a particular religion, typically from a previous belief system or lack thereof.
-
E.
convertedToTemple
Indicates that something has been transformed, repurposed, or officially designated to function as a temple.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:06 p.m.