Triple
T33149728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Buckinghamshire |
E848401
|
entity |
| Predicate | titleNumbering |
P7922
|
FINISHED |
| Object | 1st Earl of Buckinghamshire: John Hobart |
—
|
NE NERFINISHED |
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: 1st Earl of Buckinghamshire: John Hobart | Statement: [Earl of Buckinghamshire, titleNumbering, 1st Earl of Buckinghamshire: John Hobart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleNumbering Context triple: [Earl of Buckinghamshire, titleNumbering, 1st Earl of Buckinghamshire: John Hobart]
-
A.
titleNumber
chosen
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
B.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
C.
legalNumbering
Indicates that an entity has an officially assigned legal or regulatory identification number.
-
D.
categoryNumbering
Indicates that items within a category are assigned an ordered or structured numbering scheme that defines their position or sequence in that category.
-
E.
chronNumber
Indicates that one entity is assigned a specific chronological number or position in an ordered sequence relative to others.
- 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_69feecf1bb248190ba30f0bb1d22ee08 |
completed | May 9, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69feea5f27748190b223ee4e3ba5a678 |
completed | May 9, 2026, 8:03 a.m. |
Created at: May 1, 2026, 1:28 a.m.