Triple
T2896181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecticut House of Representatives |
E63944
|
entity |
| Predicate | hasLegislativeSessionType |
P1678
|
FINISHED |
| Object | biennial sessions |
—
|
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: biennial sessions | Statement: [Connecticut House of Representatives, hasLegislativeSessionType, biennial sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegislativeSessionType Context triple: [Connecticut House of Representatives, hasLegislativeSessionType, biennial sessions]
-
A.
hasLegislativeSessionCount
Indicates the number of legislative sessions associated with a given legislative body, term, or jurisdiction.
-
B.
legislativeSession
Indicates that an entity is a formal meeting period of a legislative body during which it conducts its official business, such as debating and passing laws.
-
C.
hasLegislatureType
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
D.
legislatureStatus
Indicates the current standing, condition, or phase of a legislative body or legislative process (e.g., active, pending, dissolved, or completed).
-
E.
legislativePeriodicity
chosen
Indicates how frequently a legislative body or process recurs or is scheduled to occur over time.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08c85c48190bd8c0f6680fca0c8 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:08 p.m.