Triple
T15981782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mausoleum of Emperor Ferdinand II |
E387592
|
entity |
| Predicate | builtInTheCentury |
P6333
|
FINISHED |
| Object | 17th 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: 17th century | Statement: [Mausoleum of Emperor Ferdinand II, builtInTheCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtInTheCentury Context triple: [Mausoleum of Emperor Ferdinand II, builtInTheCentury, 17th century]
-
A.
constructionCentury
chosen
Indicates the century during which something was constructed or built.
-
B.
containsBuildingFromCentury
Indicates that a location or area includes at least one building that originates from a specified century.
-
C.
designedInCentury
Indicates that something was created or planned during a specific century.
-
D.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
E.
incorporatedInCentury
Indicates that an entity (such as an organization or company) was formally incorporated 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.