Triple
T8313321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Nigra |
E194642
|
entity |
| Predicate | convertedToChurchInCentury |
P46584
|
FINISHED |
| Object | 11th century |
—
|
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: 11th century | Statement: [Porta Nigra, convertedToChurchInCentury, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToChurchInCentury Context triple: [Porta Nigra, convertedToChurchInCentury, 11th century]
-
A.
convertedToChurch
chosen
Indicates that something has been transformed or repurposed into a church.
-
B.
conversionToChristianityCentury
Indicates the century during which an entity underwent or was associated with a conversion to Christianity.
-
C.
parishChurchCentury
Indicates the century during which a given parish church was established, built, or primarily dates from.
-
D.
convertedInCentury
Indicates that an entity underwent a conversion (e.g., religious, functional, or status change) during a specified century.
-
E.
convertedToMosqueInCentury
Indicates that a building or religious structure was converted into a mosque during a specified century.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f5173c881909f2e84d53ea33a98 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.