Triple
T22434728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith Island cake |
E554588
|
entity |
| Predicate | typicalLayerCount |
P148172
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Smith Island cake, typicalLayerCount, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLayerCount Context triple: [Smith Island cake, typicalLayerCount, 8]
-
A.
isTypicallyLayered
Indicates that something is usually composed of multiple distinct layers arranged one on top of another.
-
B.
slotCountTypical
Indicates the usual or standard number of slots associated with an entity under normal conditions.
-
C.
hasNumberOfOccupationLayers
Indicates the number of distinct occupation layers or strata associated with an entity, such as levels of use, settlement, or functional roles.
-
D.
culturalLayerCount
Indicates the number of distinct cultural or occupational layers identified within a given archaeological or historical context.
-
E.
tierCount
Indicates the number of distinct levels, ranks, or layers associated with an entity in a hierarchical or tiered structure.
- F. None of above. chosen
Provenance (4 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adda0e48190825a5b705ae52d5b |
completed | April 29, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.