Triple
T1616647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor |
E34732
|
entity |
| Predicate | monarchResidence |
P14412
|
FINISHED |
| Object | British monarch |
—
|
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: British monarch | Statement: [Windsor, monarchResidence, British monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchResidence Context triple: [Windsor, monarchResidence, British monarch]
-
A.
monarchUsedAsResidence
chosen
Indicates that a monarch uses or has used a particular place as their residence.
-
B.
monarchResident
Indicates that a monarch lives in, is based in, or officially resides within a particular place or territory.
-
C.
monarchAtInstitution
Indicates that a monarch is formally associated with, or holds a role at, a particular institution.
-
D.
containsRoyalResidence
Indicates that a location includes or encompasses a residence used by royalty.
-
E.
officialRoyalResidenceSince
Indicates that a location has served as the formal royal residence of a specified royal person or house starting from a given point in time.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fef600c819080fe75c42c8e6dac |
completed | March 5, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69a907c52a548190b648a31ea306dd5b |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.