Triple
T17985881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Isabella of Denmark |
E430230
|
entity |
| Predicate | positionInSuccessionToDanishThrone |
P129323
|
FINISHED |
| Object | third |
—
|
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: third | Statement: [Princess Isabella of Denmark, positionInSuccessionToDanishThrone, third]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSuccessionToDanishThrone Context triple: [Princess Isabella of Denmark, positionInSuccessionToDanishThrone, third]
-
A.
positionInLineOfSuccessionToThrone
chosen
Indicates the ordinal place an individual holds in the ordered sequence of heirs eligible to inherit a throne.
-
B.
isNextInLineOfSuccessionTo
Indicates that one entity is the immediate heir or successor designated to take over a position, title, or role when the current holder can no longer occupy it.
-
C.
successorAsKingOfDenmark
Indicates that one person becomes the next king of Denmark following another person in the royal succession.
-
D.
successorAsPrincessRoyal
Indicates that one person becomes the next holder of the title "Princess Royal" after another person.
-
E.
successorAsPrinceOfOrange
Indicates that one entity becomes the next holder of the title "Prince of Orange" after another entity.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29b4e808190af06074168169035 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.