Triple
T28299419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish general elections |
E713665
|
entity |
| Predicate | constituencyTypeForCongress |
P1680
|
FINISHED |
| Object | provincial constituencies |
—
|
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: provincial constituencies | Statement: [Spanish general elections, constituencyTypeForCongress, provincial constituencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constituencyTypeForCongress Context triple: [Spanish general elections, constituencyTypeForCongress, provincial constituencies]
-
A.
constituencyType
Indicates the specific kind or category of electoral or representative district to which an entity belongs or refers.
-
B.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
C.
stateOfCongressionalDistrict
Indicates the relationship where a specific congressional district is located within or belongs to a particular U.S. state.
-
D.
electoralDistrictType
chosen
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
E.
legislatureTypeServed
Indicates the type of legislative body in which an entity has served (e.g., national, state, or local legislature).
- 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_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 11:34 p.m.