Triple
T17602579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Louis XV of France |
E428739
|
entity |
| Predicate | courtCeremony |
P67025
|
FINISHED |
| Object | lever of the king |
—
|
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: lever of the king | Statement: [Court of Louis XV of France, courtCeremony, lever of the king]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtCeremony Context triple: [Court of Louis XV of France, courtCeremony, lever of the king]
-
A.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
B.
ceremonyPresidedBy
Indicates that a ceremony is overseen, led, or officially conducted by a particular person or authority.
-
C.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
D.
ceremonyKnownAs
chosen
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
-
E.
ceremonyState
Indicates the current status or phase of a ceremony within its overall lifecycle.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c49dbe081909bd39879c70fe27c |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b500c924819087c7107f86970675 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.