Triple
T34557513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snake Creek Gap |
E887245
|
entity |
| Predicate | relatedCampaignObjective |
—
|
GENERATED |
| Object | capture of Atlanta |
—
|
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: relatedCampaignObjective Context triple: [Snake Creek Gap, relatedCampaignObjective, capture of Atlanta]
-
A.
campaignObjectiveContext
Indicates the specific situational or strategic context in which a campaign’s objective is defined or pursued.
-
B.
campaignObjectiveSpanish
Indicates the specific goal or purpose of a campaign as expressed in the Spanish language.
-
C.
campaignObjectivePersian
Indicates the specific goal or intended outcome of a campaign, expressed in the Persian language.
-
D.
hasCreativeGoal
Indicates that an entity possesses or is pursuing a specific creative objective or intended creative outcome.
-
E.
aimOfCampaign
chosen
Indicates that a campaign is directed toward achieving a particular goal or objective.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:02 a.m.