Triple
T14100527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Denmark |
E339367
|
entity |
| Predicate | monarchicTitleFor |
P98286
|
FINISHED |
| Object | Danish monarchy |
—
|
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: Danish monarchy | Statement: [Queen of Denmark, monarchicTitleFor, Danish monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchicTitleFor Context triple: [Queen of Denmark, monarchicTitleFor, Danish monarchy]
-
A.
styleOfMonarchTitle
Indicates the specific formal style or wording used in the official title of a monarch.
-
B.
monarchTitleAtCoronation
Indicates the specific royal title a monarch held at the moment of their coronation.
-
C.
monarchTitleGenderedForm
Indicates the specific gendered version of a monarch’s title (e.g., king vs. queen) used to refer to that ruler.
-
D.
monarchTitleAfter
Indicates that one monarch’s title directly follows or succeeds another monarch’s title in a temporal or ordinal sequence.
-
E.
monarchTitleUsedBy
chosen
Indicates that a particular monarchic title is or has been borne by a specific monarch or holder of the crown.
- 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.