Triple
T9947489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana State Legislature |
E195240
|
entity |
| Predicate | termLengthForSenators |
P39902
|
FINISHED |
| Object | 4 years |
—
|
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: 4 years | Statement: [Louisiana State Legislature, termLengthForSenators, 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLengthForSenators Context triple: [Louisiana State Legislature, termLengthForSenators, 4 years]
-
A.
territorySenatorTerm
Indicates the time period during which a person serves as a senator representing a specific territory.
-
B.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
C.
electsTermLength
chosen
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
D.
termLengthNumber
Indicates the numerical value representing the duration or length of a specified term.
-
E.
endTimeAsUSSenator
Indicates the date and time at which an individual’s service as a U.S. Senator concludes.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb657b35c81909448e93999f6e77c |
completed | April 2, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:45 p.m.