Triple
T7474554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senator from Virginia |
E176596
|
entity |
| Predicate | canCoSponsor |
P3260
|
FINISHED |
| Object | bills in the United States Senate |
—
|
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: bills in the United States Senate | Statement: [United States Senator from Virginia, canCoSponsor, bills in the United States Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canCoSponsor Context triple: [United States Senator from Virginia, canCoSponsor, bills in the United States Senate]
-
A.
coSponsor
chosen
Indicates that an entity jointly supports, endorses, or backs an initiative, proposal, or activity together with one or more others.
-
B.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
C.
canConfer
Indicates that one entity has the authority or ability to grant, bestow, or transfer a status, right, or benefit to another entity.
-
D.
sponsorPartyInCongress
Indicates that one party in a congress formally supports, promotes, or initiates an action, proposal, or measure on behalf of another party within that legislative body.
-
E.
hasCoChairFrom
Indicates that an entity has a co-chair whose affiliation or origin is from a specified source, organization, or group.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f417fbb48190b134eaf1da1b4289 |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.