Triple
T37667343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Stewart (through Marjorie Bruce’s descendants) |
E937855
|
entity |
| Predicate | dateOfUnionOfCrowns |
P3470
|
FINISHED |
| Object | 1603 |
—
|
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: 1603 | Statement: [House of Stewart (through Marjorie Bruce’s descendants), dateOfUnionOfCrowns, 1603]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfUnionOfCrowns Context triple: [House of Stewart (through Marjorie Bruce’s descendants), dateOfUnionOfCrowns, 1603]
-
A.
dateOfUnionFormation
chosen
Indicates the date on which a union was formally established or came into existence.
-
B.
unionOfCrownsMonarch
Indicates that a monarch rules over multiple crowns or realms united under a single sovereign authority.
-
C.
dynasticUnion
Indicates a political relationship in which two or more distinct states are ruled by the same dynasty or monarch while formally remaining separate entities.
-
D.
unificationDate
Indicates the date on which two or more previously separate entities were formally unified into a single entity.
-
E.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4:18 p.m.