Triple
T33024554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electorate of Hanover |
E845003
|
entity |
| Predicate | lastElector |
P3710
|
FINISHED |
| Object | George III of the United Kingdom |
—
|
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 III of the United Kingdom | Statement: [Electorate of Hanover, lastElector, George III of the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastElector Context triple: [Electorate of Hanover, lastElector, George III of the United Kingdom]
-
A.
lastElection
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
-
B.
lastHolderDeFacto
Indicates that an entity was the most recent de facto (in practice, though not necessarily legally recognized) holder or possessor of another entity.
-
C.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
D.
laterLeader
Indicates that one entity serves as a leader or holds a leadership role at a later time than another specified leader.
-
E.
lastHolder
chosen
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:23 a.m.