Triple
T1345000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia State Senate |
E28549
|
entity |
| Predicate | sessionLengthLimit |
P16655
|
FINISHED |
| Object | 40 legislative days per year |
—
|
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: 40 legislative days per year | Statement: [Georgia State Senate, sessionLengthLimit, 40 legislative days per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionLengthLimit Context triple: [Georgia State Senate, sessionLengthLimit, 40 legislative days per year]
-
A.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
-
B.
timeLimited
Indicates that the relationship or action is constrained to occur or remain valid only within a specific, limited time period.
-
C.
gameLengthRule
Indicates a rule that specifies how long a game is allowed or required to last.
-
D.
gLimit
chosen
Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
-
E.
maximumVideoLength
Indicates the greatest allowable or supported duration for a video in this context.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23d696c8190bb688274280cb680 |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.