Triple
T27856572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of All the Talents |
E704103
|
entity |
| Predicate | reasonForFall |
P32407
|
FINISHED |
| Object | dispute with George III over Catholic emancipation |
—
|
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: dispute with George III over Catholic emancipation | Statement: [Ministry of All the Talents, reasonForFall, dispute with George III over Catholic emancipation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForFall Context triple: [Ministry of All the Talents, reasonForFall, dispute with George III over Catholic emancipation]
-
A.
fallCause
chosen
Indicates that one event or condition causes or brings about another event of falling or decline.
-
B.
fellWith
Indicates that one entity fell at the same time as, or in conjunction with, another entity.
-
C.
fallsWith
Indicates that one entity falls at the same time as, or as a consequence of, another entity falling.
-
D.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
-
E.
fallsOffAs
Indicates that one quantity decreases in value or intensity as another quantity increases or changes.
- 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 27, 2026, 6:14 p.m.