Triple
T28222834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Parliament of Galicia |
E711505
|
entity |
| Predicate | highestRepresentativeOf |
P65926
|
FINISHED |
| Object | Parliament of Galicia |
—
|
NE NERFINISHED |
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: Parliament of Galicia | Statement: [President of the Parliament of Galicia, highestRepresentativeOf, Parliament of Galicia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestRepresentativeOf Context triple: [President of the Parliament of Galicia, highestRepresentativeOf, Parliament of Galicia]
-
A.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
B.
bestKnownRepresentative
Indicates that one entity is regarded as the most prominent or widely recognized example or representative of another entity.
-
C.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
D.
recognizedAsRepresentativeBy
Indicates that one entity is acknowledged or accepted by another entity as acting as its representative.
-
E.
representedFor
chosen
Indicates that one entity has acted or served as the official representative or proxy on behalf of another entity.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 10:47 p.m.