Triple
T2579607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma Legislature |
E57056
|
entity |
| Predicate | specialSessionsAlsoCalledBy |
P1310
|
FINISHED |
| Object | supermajority of members |
—
|
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: supermajority of members | Statement: [Oklahoma Legislature, specialSessionsAlsoCalledBy, supermajority of members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialSessionsAlsoCalledBy Context triple: [Oklahoma Legislature, specialSessionsAlsoCalledBy, supermajority of members]
-
A.
canBeCalledIntoSpecialSessionBy
chosen
Indicates that one entity has the authority to convene or summon another entity into a special session.
-
B.
convenesDuring
Indicates that one entity formally gathers or brings together another entity or group during a specified time period or event.
-
C.
meetsBetweenSessionsOf
Indicates that one entity meets another during the interval between scheduled sessions or events.
-
D.
conferenceAtTheTime
Indicates that an event or situation occurs during the time period in which a specified conference is taking place.
-
E.
heldSessionsIn
Indicates that an entity organized or conducted one or more sessions, meetings, or events at a specified location or venue.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a9fd3c8190a521931e40cd801c |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.