Triple
T30130797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayland’s Smithy |
E765837
|
entity |
| Predicate | firstPhaseType |
P37034
|
FINISHED |
| Object | earlier timber mortuary structure |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: earlier timber mortuary structure | Statement: [Wayland’s Smithy, firstPhaseType, earlier timber mortuary structure]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a01a48fbbd481908ccf75551dcf4647 |
completed | May 11, 2026, 9:42 a.m. |
| PD | Predicate disambiguation | batch_6a01a2d6db208190b11c1af601a544f5 |
completed | May 11, 2026, 9:35 a.m. |
Created at: April 29, 2026, 7:15 p.m.