Triple
T231295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Secretary of Agriculture |
E4415
|
entity |
| Predicate | formation |
P654
|
FINISHED |
| Object | 1889 |
—
|
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: 1889 | Statement: [United States Secretary of Agriculture, formation, 1889]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formation Context triple: [United States Secretary of Agriculture, formation, 1889]
-
A.
formationPrinciple
Indicates the underlying rule, pattern, or principle according to which something is formed, structured, or brought into existence.
-
B.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
formed
Indicates that one entity came into existence, shape, or organization as a result of the actions or processes involving another entity.
-
D.
formationEvent
chosen
Indicates the event or process through which something comes into existence, is created, or is initially established.
-
E.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b5a075081909b0e9b88c1492d5a |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.