Triple
T31784976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States Senate elections |
E811303
|
entity |
| Predicate | resultingDemocraticSeats |
P89208
|
FINISHED |
| Object | 53 |
—
|
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: 53 | Statement: [2010 United States Senate elections, resultingDemocraticSeats, 53]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultingDemocraticSeats Context triple: [2010 United States Senate elections, resultingDemocraticSeats, 53]
-
A.
numberOfDemocraticMembers
chosen
Indicates the quantity of members in a group or body who are affiliated with or belong to the Democratic Party.
-
B.
seatsWonByNewDemocraticParty
Indicates the number of electoral seats that were won by the New Democratic Party in a given election or governing body.
-
C.
citizensSeatsWon
Indicates the number of legislative or representative seats won by citizens (or citizen-backed entities) in an election or governing body.
-
D.
senateResult
Indicates the outcome or status of a decision, vote, or election related to a senate.
-
E.
numberOfSeatsWon
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
- 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_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 30, 2026, 11:37 p.m.