Triple
T14993639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 United States House of Representatives elections |
E373900
|
entity |
| Predicate | totalSeatsWonByDemocraticParty |
P31127
|
FINISHED |
| Object | 235 |
—
|
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: 235 | Statement: [2018 United States House of Representatives elections, totalSeatsWonByDemocraticParty, 235]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalSeatsWonByDemocraticParty Context triple: [2018 United States House of Representatives elections, totalSeatsWonByDemocraticParty, 235]
-
A.
seatsWonByNewDemocraticParty
Indicates the number of electoral seats that were won by the New Democratic Party in a given election or governing body.
-
B.
numberOfDemocraticMembers
Indicates the quantity of members in a group or body who are affiliated with or belong to the Democratic Party.
-
C.
numberOfSeatsWon
chosen
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
D.
numberOfStatesCarriedByDemocraticNominee
Indicates the count of U.S. states in which the Democratic nominee won (carried) the election.
-
E.
speakerSeatsWon
Indicates the number of seats won by the entity serving or designated as the speaker in a given election or legislative context.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.