Triple
T19816986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquess of Ailsa |
E476082
|
entity |
| Predicate | linkedEarlierTitleCreationCentury |
P43705
|
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: [Marquess of Ailsa, linkedEarlierTitleCreationCentury, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedEarlierTitleCreationCentury Context triple: [Marquess of Ailsa, linkedEarlierTitleCreationCentury, 16th century]
-
A.
titleInheritedInCentury
Indicates that a title was passed down or inherited during a specified century.
-
B.
titleCreatedInCentury
chosen
Indicates that a title (such as a work or designation) was created during a specific century.
-
C.
namedAfterCentury
Indicates that something is named after a specific century, typically reflecting that century’s time period or characteristics.
-
D.
titleHolderStartCentury
Indicates the century in which an entity first began holding a particular title or position.
-
E.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f9c5b08190987237f5144c3b37 |
completed | April 20, 2026, 4:31 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.