Triple
T28299410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish general elections |
E713665
|
entity |
| Predicate | mainChamberElected |
P5757
|
FINISHED |
| Object | lower house of the Cortes Generales |
—
|
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: lower house of the Cortes Generales | Statement: [Spanish general elections, mainChamberElected, lower house of the Cortes Generales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainChamberElected Context triple: [Spanish general elections, mainChamberElected, lower house of the Cortes Generales]
-
A.
chamberNumberElected
Indicates the specific legislative chamber or house to which an individual was elected.
-
B.
chamberWithElectedMembers
Indicates that a legislative or governing chamber is composed of members who attain their positions through an electoral process.
-
C.
mainChamber
chosen
Indicates that something is the primary or central chamber or room within a larger structure or system.
-
D.
electsToChamber
Indicates that a group or body selects or votes individuals into membership of a specific legislative chamber.
-
E.
chamberAfterElection
Indicates the legislative chamber in which an elected official serves following a specific election.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 11:34 p.m.