Triple
T19345166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate seat from Kansas |
E483856
|
entity |
| Predicate | canBeTemporarilyFilledByAppointment |
P55392
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [United States Senate seat from Kansas, canBeTemporarilyFilledByAppointment, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeTemporarilyFilledByAppointment Context triple: [United States Senate seat from Kansas, canBeTemporarilyFilledByAppointment, yes]
-
A.
canHoldAppointment
Indicates that an entity is eligible or permitted to occupy or serve in a particular appointment, position, or role.
-
B.
openByAppointment
Indicates that access or availability is provided only at scheduled times arranged in advance, rather than during regular open hours.
-
C.
mayBeFilledBy
chosen
Indicates that one entity has the potential or permission to be occupied, completed, or satisfied by another entity.
-
D.
canConfirmAppointments
Indicates that an entity has the ability or permission to confirm scheduled appointments.
-
E.
canBeVacant
Indicates that an entity (such as a position, property, or role) is capable of being unoccupied or without an assigned holder.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185a56b4819089336564959b84df |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.