Triple
T554646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace of Whitehall |
E11915
|
entity |
| Predicate | startDateAsPrincipalRoyalResidence |
P16312
|
FINISHED |
| Object | 1530 |
—
|
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: 1530 | Statement: [Palace of Whitehall, startDateAsPrincipalRoyalResidence, 1530]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startDateAsPrincipalRoyalResidence Context triple: [Palace of Whitehall, startDateAsPrincipalRoyalResidence, 1530]
-
A.
containsRoyalResidence
Indicates that a location includes or encompasses a residence used by royalty.
-
B.
monarchUsedAsResidence
Indicates that a monarch uses or has used a particular place as their residence.
-
C.
royalGovernmentStart
Indicates the point in time when a royal form of government is first established or begins to exercise authority.
-
D.
currentMonarchStart
Indicates the date or point in time when the current monarch’s reign began.
-
E.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
- F. None of above. chosen
Provenance (4 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991c524481908b2bb88c4feabec6 |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bc1f8c8190904356f3a8e801de |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985952a481908b918350ececf484 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.