Triple
T20485035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathedral of Terni |
E502567
|
entity |
| Predicate | hasCenturyOldArchitecture |
P140273
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cathedral of Terni, hasCenturyOldArchitecture, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenturyOldArchitecture Context triple: [Cathedral of Terni, hasCenturyOldArchitecture, true]
-
A.
containsBuildingFromCentury
Indicates that a location or area includes at least one building that originates from a specified century.
-
B.
hasColonialArchitecture
Indicates that something features or exhibits architectural characteristics associated with colonial-era design or construction.
-
C.
hasPreservedBuildings
Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
-
D.
constructionCentury
Indicates the century during which something was constructed or built.
-
E.
hasMedievalBuilding
Indicates that one entity possesses, contains, or includes a building dating from the medieval period.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b59ae2c8190bfa26a3f1e59b8d1 |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:34 a.m.