Triple
T4317758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish general election, April 2019 |
E96433
|
entity |
| Predicate | VoxSeatsCongress |
P4273
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Spanish general election, April 2019, VoxSeatsCongress, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VoxSeatsCongress Context triple: [Spanish general election, April 2019, VoxSeatsCongress, 24]
-
A.
representedInCongressBy
Indicates that one entity serves as the official congressional representative (e.g., legislator) for another entity (such as a person, group, or geographic area).
-
B.
electRepresentativesTo
Indicates the action by which a group or body chooses individuals to serve as its official representatives in another governing or decision-making body.
-
C.
NLRepresentative
Indicates a relationship where one entity serves as an official representative or delegate for another within the Netherlands.
-
D.
ALRepresentative
Indicates that one entity serves as an official representative or delegate acting on behalf of another entity.
-
E.
numberOfRepresentatives
chosen
Indicates the quantity of representatives associated with a given entity or unit.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f883c88190a2d72f7d124eef43 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.