Triple
T21974609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPA Presidium |
E542671
|
entity |
| Predicate | typeOfLegislatureBody |
P6051
|
FINISHED |
| Object | presidium |
—
|
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: presidium | Statement: [SPA Presidium, typeOfLegislatureBody, presidium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLegislatureBody Context triple: [SPA Presidium, typeOfLegislatureBody, presidium]
-
A.
typeOfParliamentaryBody
chosen
Indicates the specific kind or classification of a parliamentary body that an entity represents (e.g., lower house, upper house, unicameral chamber).
-
B.
isLegislativeBody
Indicates that the subject entity functions as an official law-making or legislative body within a political or organizational system.
-
C.
hasLegislatureType
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
D.
hasLegislativeType
Indicates that something is associated with, classified by, or characterized as a particular type or category of legislation or legislative measure.
-
E.
legislativeBodyOf
Indicates that one entity is the official legislative body (lawmaking assembly) of another entity, typically a political unit such as a country, state, or city.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12487a1a88190abb8a51fcd533b6a |
completed | April 28, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:03 p.m.