Triple
T24787490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aragonese regional elections |
E620157
|
entity |
| Predicate | determinesOffice |
P84375
|
FINISHED |
| Object | President of the Government of Aragon |
—
|
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: President of the Government of Aragon | Statement: [Aragonese regional elections, determinesOffice, President of the Government of Aragon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: determinesOffice Context triple: [Aragonese regional elections, determinesOffice, President of the Government of Aragon]
-
A.
specifiesOffice
Indicates that an entity is assigned to or associated with a particular office or official position.
-
B.
definesOfficeOf
chosen
Indicates that one entity specifies or establishes the official role, position, or office associated with another entity.
-
C.
denotesOfficeIn
Indicates that an entity holds or maintains an official office or branch located within a specified place or jurisdiction.
-
D.
isOfficeHubOf
Indicates that a location serves as the central office or main administrative hub for a specified organization or area.
-
E.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:46 a.m.