Triple
T38618950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Alexander, Margrave of Brandenburg-Ansbach |
E936812
|
entity |
| Predicate | soldTerritoryTo |
P159746
|
FINISHED |
| Object | Kingdom of Prussia |
—
|
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: Kingdom of Prussia | Statement: [Charles Alexander, Margrave of Brandenburg-Ansbach, soldTerritoryTo, Kingdom of Prussia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldTerritoryTo Context triple: [Charles Alexander, Margrave of Brandenburg-Ansbach, soldTerritoryTo, Kingdom of Prussia]
-
A.
territorySold
chosen
Indicates that one entity has transferred ownership or control of a territory to another entity through a sale.
-
B.
soldTechnologyTo
Indicates that one entity transferred ownership or rights to a technology to another entity in exchange for compensation.
-
C.
shipSoldTo
Indicates that a ship has been sold by one party and transferred in ownership to another specified party.
-
D.
soldWith
Indicates that one item is sold together with another item as part of the same transaction or offer.
-
E.
soldBrandTo
Indicates that one entity transferred ownership or control of a brand to another entity through a sale.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.