Triple
T19009298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Greece and Denmark |
E465175
|
entity |
| Predicate | statusInDenmark |
P127
|
FINISHED |
| Object | member of Danish royal house by agnatic descent |
—
|
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: member of Danish royal house by agnatic descent | Statement: [Prince of Greece and Denmark, statusInDenmark, member of Danish royal house by agnatic descent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInDenmark Context triple: [Prince of Greece and Denmark, statusInDenmark, member of Danish royal house by agnatic descent]
-
A.
statusInNorway
Indicates the legal, social, or official standing that an entity holds within the jurisdiction of Norway.
-
B.
statusInSweden
Indicates the legal, social, or official standing or condition that an entity holds within the context of Sweden.
-
C.
statusInFinland
Indicates the legal, social, or administrative standing or condition an entity holds specifically within Finland.
-
D.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
-
E.
statusInMaryland
Indicates that an entity holds a particular legal, regulatory, or operational status specifically within the jurisdiction of Maryland.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a72aa88190a04f13cd14ee77d4 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.