Triple
T30130797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayland’s Smithy |
E765837
|
entity |
| Predicate | firstPhaseType |
—
|
GENERATED |
| Object | earlier timber mortuary structure |
—
|
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: firstPhaseType Context triple: [Wayland’s Smithy, firstPhaseType, earlier timber mortuary structure]
-
A.
firstPhaseStart
Indicates the point in time when the initial phase of a process or sequence begins.
-
B.
firstStageType
chosen
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
C.
firstPhaseCompleted
Indicates that the initial phase of a multi-phase process, project, or operation has been successfully completed.
-
D.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
-
E.
firstStageName
Indicates that one entity is the initial or earliest stage name associated with another entity in a sequence or lifecycle.
- 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_69f22477d1a081908df2b7e6ed16859d |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 7:15 p.m.