Triple
T38107958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabard Inn |
E951573
|
entity |
| Predicate | associatedWithCityInWork |
—
|
GENERATED |
| Object | 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: associatedWithCityInWork Context triple: [Tabard Inn, associatedWithCityInWork, London]
-
A.
hasAssociatedCity
Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
-
B.
associatedWithWorkplace
Indicates a relationship where an entity has a connection or affiliation with a particular workplace or place of employment.
-
C.
workCity
Indicates the city in which an entity (typically a person) performs their work or job.
-
D.
relatedWorkLocation
chosen
Indicates that one entity has a work-related connection to the location represented by the other entity.
-
E.
worksNear
Indicates that one entity performs its work or duties in close physical proximity to another entity.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.