Triple
T31603899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LND |
E806422
|
entity |
| Predicate | locationOfIdentifiedEntity |
—
|
GENERATED |
| Object | Regent’s Park, London |
—
|
UNRECOGNIZED 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: locationOfIdentifiedEntity Context triple: [LND, locationOfIdentifiedEntity, Regent’s Park, London]
-
A.
subjectLocation
chosen
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
B.
objectLocation
Indicates that one entity is located at, in, or on another entity or spatial region.
-
C.
locationOfSee
Indicates a relationship where a particular place is the setting or site in which an act of seeing or visual perception occurs.
-
D.
locatedWith
Indicates that two or more entities are situated together in the same place or spatial context.
-
E.
locationOfFacts
Indicates that certain facts or pieces of information are situated, stored, or found at a particular location or source.
- F. None of above.
Provenance (1 batch)
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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 10:34 p.m.