Triple
T24826992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Gizeux |
E621219
|
entity |
| Predicate | hasMajorAlterationPeriod |
P147300
|
FINISHED |
| Object | 16th 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: 16th century | Statement: [Château de Gizeux, hasMajorAlterationPeriod, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorAlterationPeriod Context triple: [Château de Gizeux, hasMajorAlterationPeriod, 16th century]
-
A.
hasAlterationPeriod
Indicates that an entity is associated with a specific time span during which changes, modifications, or alterations may occur or are valid.
-
B.
hasMajorWork
Indicates that an entity (typically a person, creator, or organization) is associated with a significant or principal work they produced or are best known for.
-
C.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
-
D.
hasMajorMigrationWave
Indicates a significant, large-scale movement of a population from one place to another during a particular period.
-
E.
majorRevisionPeriod
chosen
Indicates the time span during which substantial or significant changes are made to something, such as a document, plan, or project.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 5:05 a.m.