Triple
T28560160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadhuis van Enkhuizen |
E722515
|
entity |
| Predicate | hasConstructionPeriodCentury |
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: [Stadhuis van Enkhuizen, hasConstructionPeriodCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstructionPeriodCentury Context triple: [Stadhuis van Enkhuizen, hasConstructionPeriodCentury, 17th century]
-
A.
estimatedConstructionEndCentury
Indicates the century in which the construction of something is estimated to have been completed.
-
B.
containsBuildingFromCentury
Indicates that a location or area includes at least one building that originates from a specified century.
-
C.
constructionCentury
chosen
Indicates the century during which something was constructed or built.
-
D.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
-
E.
hasCastleConstructionCentury
Indicates the century during which a castle was constructed.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 28, 2026, 4:04 a.m.