Triple
T30208983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shots |
E768015
|
entity |
| Predicate | associatedWithMilitaryTown |
—
|
GENERATED |
| Object | Aldershot |
—
|
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: associatedWithMilitaryTown Context triple: [The Shots, associatedWithMilitaryTown, Aldershot]
-
A.
associatedWithMilitaryHistory
Indicates a relationship in which something is connected or relevant to military history, such as events, figures, institutions, or artifacts.
-
B.
hasNearbyMilitaryTown
chosen
Indicates that one location is situated close to a town whose primary function or identity is associated with military presence or activity.
-
C.
hasMilitaryAssociation
Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
-
D.
associatedWithWar
Indicates a relationship where an entity is connected or related to war, such as by involvement, influence, cause, or context.
-
E.
associatedWithMilitaryConquests
Indicates a relationship where an entity is connected to, involved in, or characterized by military conquests or campaigns.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:32 p.m.