Triple
T12778912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château d’Ussé |
E305449
|
entity |
| Predicate | rebuiltOrRemodeledCentury |
P11509
|
FINISHED |
| Object | 15th 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: 15th century | Statement: [Château d’Ussé, rebuiltOrRemodeledCentury, 15th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebuiltOrRemodeledCentury Context triple: [Château d’Ussé, rebuiltOrRemodeledCentury, 15th century]
-
A.
rebuiltInCentury
chosen
Indicates that an existing structure or entity was reconstructed or significantly rebuilt during a specified century.
-
B.
partiallyRebuiltInCentury
Indicates that an entity underwent partial reconstruction or significant repair during the specified century.
-
C.
constructionCentury
Indicates the century during which something was constructed or built.
-
D.
rebuiltOrExpanded
Indicates that one entity has been reconstructed, enlarged, or otherwise significantly developed from its previous form or state.
-
E.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:29 p.m.