Triple
T4380831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of Monaco |
E99123
|
entity |
| Predicate | appointment |
P1649
|
FINISHED |
| Object | members appointed by the Prince of Monaco |
—
|
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: members appointed by the Prince of Monaco | Statement: [Supreme Court of Monaco, appointment, members appointed by the Prince of Monaco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointment Context triple: [Supreme Court of Monaco, appointment, members appointed by the Prince of Monaco]
-
A.
appointmentBy
chosen
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
-
B.
appointmentBody
Indicates that one entity serves as the main content or body text associated with a particular appointment.
-
C.
appointmentType
Indicates the specific category or nature of an appointment associated with an entity or event.
-
D.
appointmentOnAdviceOf
Indicates that an appointment or selection of someone to a position is made based on the recommendation, counsel, or formal advice of another person or authority.
-
E.
schedule
Indicates that an entity arranges for an event, task, or activity to occur at a specific time or within a defined time frame.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35243036481909fb0a001c3cb1ff2 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.