Triple
T2015034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York congressional delegation |
E43774
|
entity |
| Predicate | senatorsElectedBy |
P25166
|
FINISHED |
| Object | statewide at-large elections in New York |
—
|
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: statewide at-large elections in New York | Statement: [New York congressional delegation, senatorsElectedBy, statewide at-large elections in New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senatorsElectedBy Context triple: [New York congressional delegation, senatorsElectedBy, statewide at-large elections in New York]
-
A.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
-
B.
electionForSenateMembers
chosen
Indicates an electoral process in which individuals are chosen to serve as members of a senate.
-
C.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
D.
numberOfSenators
Indicates the total count of senators associated with a given political body, region, or entity.
-
E.
electedFrom
Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.