Triple
T4844832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | state emblem of the Soviet Union |
E108262
|
entity |
| Predicate | wheatSheavesMeaning |
P29652
|
FINISHED |
| Object | agriculture |
—
|
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: agriculture | Statement: [state emblem of the Soviet Union, wheatSheavesMeaning, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheatSheavesMeaning Context triple: [state emblem of the Soviet Union, wheatSheavesMeaning, agriculture]
-
A.
wheatRepresents
chosen
Indicates that one entity serves as a symbolic or representative stand-in for wheat in some context.
-
B.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
-
C.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
D.
meaningOfChoes
Indicates a relationship where something expresses, represents, or defines the meaning or significance of a choice or set of choices.
-
E.
grainColor
Indicates the color attribute associated with a grain or granular material.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.