Triple
T14100564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Denmark |
E339367
|
entity |
| Predicate | ceremonialTitleUse |
P31813
|
FINISHED |
| Object | used in formal and diplomatic contexts |
—
|
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: used in formal and diplomatic contexts | Statement: [Queen of Denmark, ceremonialTitleUse, used in formal and diplomatic contexts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonialTitleUse Context triple: [Queen of Denmark, ceremonialTitleUse, used in formal and diplomatic contexts]
-
A.
ceremonialUse
Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
-
B.
ceremonialRole
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
C.
ceremonialStatus
Indicates the formal or symbolic standing an entity holds within a ritual, tradition, or official ceremony.
-
D.
usedAsCourtesyTitleFor
Indicates that one entity serves as a courtesy title or honorific form of address applied to another entity.
-
E.
officeHolderMayUseTitle
chosen
Indicates that a person who holds a particular office is permitted to use a specified official title.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fba7c10819095b1299b7b4f0310 |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.