Triple
T879025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Douglas |
E18984
|
entity |
| Predicate | forfeitureCentury |
P10303
|
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: [Earl of Douglas, forfeitureCentury, 15th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forfeitureCentury Context triple: [Earl of Douglas, forfeitureCentury, 15th century]
-
A.
confiscationYear
Indicates the year in which something was officially taken away or seized, typically by an authority.
-
B.
confiscatedBy
Indicates that something has been taken away and seized by an authority or agent, typically as a legal or disciplinary action.
-
C.
declinedAfterCentury
Indicates that something experienced a reduction, deterioration, or loss of prominence after the end of a specified century.
-
D.
centuryOfDeath
Indicates the specific century during which an entity (typically a person) died.
-
E.
century
chosen
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acb1dc20819095b9bb093158b60d |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8d47c081909b02a53e305ccf7a |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.