Triple
T31784977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States Senate elections |
E811303
|
entity |
| Predicate | resultingRepublicanSeats |
P89207
|
FINISHED |
| Object | 47 |
—
|
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: 47 | Statement: [2010 United States Senate elections, resultingRepublicanSeats, 47]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultingRepublicanSeats Context triple: [2010 United States Senate elections, resultingRepublicanSeats, 47]
-
A.
citizensSeatsWon
Indicates the number of legislative or representative seats won by citizens (or citizen-backed entities) in an election or governing body.
-
B.
numberOfRepublicanMembers
chosen
Indicates the quantity of members in a group or body who are affiliated with or belong to the Republican Party.
-
C.
senateResult
Indicates the outcome or status of a decision, vote, or election related to a senate.
-
D.
republicanPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Republican Party.
-
E.
numberOfRepublicanContests
Indicates the total count of contests or events associated with the Republican Party in which an entity participated or that are attributed to it.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 30, 2026, 11:37 p.m.