Triple
T24073524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPP |
E596299
|
entity |
| Predicate | locatedInGovernmentalStructure |
P72631
|
FINISHED |
| Object | upper 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: upper house of the Cortes Generales | Statement: [GPP, locatedInGovernmentalStructure, upper house of the Cortes Generales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInGovernmentalStructure Context triple: [GPP, locatedInGovernmentalStructure, upper house of the Cortes Generales]
-
A.
locatedInGovernmentBody
Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
-
B.
seatInGovernmentHierarchy
Indicates that an entity holds a specific position or rank within a structured governmental hierarchy.
-
C.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
-
D.
locatedInTheGovernmentBuilding
Indicates that one entity is situated within or inside a government-owned or government-operated building.
-
E.
inGovernmentStructure
chosen
Indicates that one entity is part of, belongs to, or is included within the organizational or institutional framework of a government.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1bb98081909f56cd7a06dba054 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:42 p.m.