Triple
T4826563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Sweden |
E107838
|
entity |
| Predicate | introducedBuildingType |
P50464
|
FINISHED |
| Object | log cabin |
—
|
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: log cabin | Statement: [New Sweden, introducedBuildingType, log cabin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedBuildingType Context triple: [New Sweden, introducedBuildingType, log cabin]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
C.
containsBuildingType
chosen
Indicates that a location or area includes at least one building of the specified type.
-
D.
builtInThe
Indicates that something was constructed or created within a specified location, structure, or context.
-
E.
publicBuilding
Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.