Triple
T23554150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirbright |
E578131
|
entity |
| Predicate | hasNotableResidentBurial |
P62966
|
FINISHED |
| Object | George Edward, 1st Duke of Cambridge |
—
|
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: George Edward, 1st Duke of Cambridge | Statement: [Pirbright, hasNotableResidentBurial, George Edward, 1st Duke of Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableResidentBurial Context triple: [Pirbright, hasNotableResidentBurial, George Edward, 1st Duke of Cambridge]
-
A.
hasNotableBurials
Indicates that a place, typically a cemetery or burial site, contains the graves or remains of individuals considered notable or significant.
-
B.
hasBurialsOf
chosen
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
C.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
D.
alsoBurials
Indicates that the subject location or record includes additional burial sites or burial events beyond the primary one referenced.
-
E.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:12 p.m.