Triple
T1043496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Note |
E22521
|
entity |
| Predicate | smallSizeIssuesStart |
P23864
|
FINISHED |
| Object | 1928 |
—
|
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: 1928 | Statement: [United States Note, smallSizeIssuesStart, 1928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallSizeIssuesStart Context triple: [United States Note, smallSizeIssuesStart, 1928]
-
A.
smallerThan
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
B.
berrySize
Indicates the relative magnitude or dimensions of a berry in terms of its physical size.
-
C.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
D.
isSmallCity
Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
-
E.
rinkType
Indicates the specific kind or category of rink associated with an entity (e.g., ice rink, roller rink, practice rink).
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8444f708190815732408aa0463e |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.