Triple
T33149749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Buckinghamshire |
E848401
|
entity |
| Predicate | originalBaronetcyCreationDate |
P51495
|
FINISHED |
| Object | 1611 |
—
|
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: 1611 | Statement: [Earl of Buckinghamshire, originalBaronetcyCreationDate, 1611]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBaronetcyCreationDate Context triple: [Earl of Buckinghamshire, originalBaronetcyCreationDate, 1611]
-
A.
dateOfBaronetcy
chosen
Indicates the date on which a person was granted or created a baronetcy title.
-
B.
createdBaronet
Indicates that one entity formally established or granted a baronetcy title to another entity.
-
C.
dateOfCreationOfBarony
Indicates the specific date on which a particular barony was formally created or established.
-
D.
baronetcyOf
Indicates a hereditary title or rank of baronet held by or associated with a particular person, family, or lineage.
-
E.
dateOfCreationAsMarquess
Indicates the specific date on which a person was created or elevated to the rank or title of marquess.
- 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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a023f290e3081909a465d6cfb79518a |
completed | May 11, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_6a0238d1436c8190ab0251030b01902e |
completed | May 11, 2026, 8:15 p.m. |
Created at: May 1, 2026, 1:28 a.m.