Triple
T26079360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate from Rhode Island |
E657787
|
entity |
| Predicate | currentNumberOfMajorPartiesRepresented |
P152454
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [United States Senate from Rhode Island, currentNumberOfMajorPartiesRepresented, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentNumberOfMajorPartiesRepresented Context triple: [United States Senate from Rhode Island, currentNumberOfMajorPartiesRepresented, 2]
-
A.
numberOfPartiesInChamber
Indicates the total count of distinct parties represented within a specific legislative chamber.
-
B.
hasNumberOfParties
Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
-
C.
numberOfPartiesWinningSeats
chosen
Indicates the total count of distinct parties that have secured at least one seat in an election or representative body.
-
D.
hasMajorParties
Indicates that an entity is associated with its primary participating parties or main involved groups.
-
E.
numberOfMajorCandidates
Indicates the count of major candidates associated with a given entity or event.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 26, 2026, 7:36 p.m.