Triple
T3572993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castile and León |
E75619
|
entity |
| Predicate | hasGovernmentHeadquarters |
P24397
|
FINISHED |
| Object | Valladolid |
—
|
NE GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentHeadquarters Context triple: [Castile and León, hasGovernmentHeadquarters, Valladolid]
-
A.
nearHeadquartersOf
Indicates that one entity is located geographically close to the headquarters of another entity.
-
B.
governingBodyHeadquartersCity
chosen
Indicates the city where the headquarters of a governing body is located.
-
C.
hasHeadquartersBuilding
Indicates that an organization possesses a specific building that serves as its headquarters location.
-
D.
hasHeadquartersType
Indicates the specific kind or classification of headquarters associated with an entity.
-
E.
headquartersFor
Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
- F. None of above.
Provenance (2 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.