Triple
T18460886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown of the Prince of Liechtenstein |
E451027
|
entity |
| Predicate | typeOfMonarchicalCrown |
P10697
|
FINISHED |
| Object | princely crown |
—
|
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: princely crown | Statement: [Crown of the Prince of Liechtenstein, typeOfMonarchicalCrown, princely crown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMonarchicalCrown Context triple: [Crown of the Prince of Liechtenstein, typeOfMonarchicalCrown, princely crown]
-
A.
crownType
chosen
Indicates the specific style or form of a crown associated with an entity.
-
B.
primaryCoronationCrown
Indicates that a particular crown is the main or official crown used in the coronation of a ruler.
-
C.
monarchCrowned
Indicates that an individual has been formally installed as a monarch through a coronation ceremony.
-
D.
crownCharacteristic
Indicates that an entity has a particular property, feature, or quality specifically associated with its crown.
-
E.
crownedBy
Indicates that an entity is formally invested with a rank, title, or authority through a crowning ceremony performed by 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7e65bc8190a824bce5b322c3de |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:33 a.m.