Triple
T5682821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Paolo fuori le Mura |
E125236
|
entity |
| Predicate | hasCloisterFromCentury |
P65756
|
FINISHED |
| Object | 13th 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: 13th century | Statement: [San Paolo fuori le Mura, hasCloisterFromCentury, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCloisterFromCentury Context triple: [San Paolo fuori le Mura, hasCloisterFromCentury, 13th century]
-
A.
hasCloister
Indicates that one entity possesses or includes a cloister as part of its structure or layout.
-
B.
existedInCentury
Indicates that an entity existed or was present during a specified century.
-
C.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
D.
ownedUntilCentury
Indicates that an entity possessed or held ownership of another entity up to, but not necessarily beyond, a specified century.
-
E.
endedInCentury
Indicates that an event, period, or process concluded during a specified century.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.