Triple
T25736860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Venezuela |
E645398
|
entity |
| Predicate | sheafOfWheatRepresents |
P29652
|
FINISHED |
| Object | fertility of the land |
—
|
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: fertility of the land | Statement: [Coat of arms of Venezuela, sheafOfWheatRepresents, fertility of the land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sheafOfWheatRepresents Context triple: [Coat of arms of Venezuela, sheafOfWheatRepresents, fertility of the land]
-
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.
loavesRepresent
Indicates that certain loaves serve as a symbolic or visual representation of something else.
-
D.
grainColor
Indicates the color attribute associated with a grain or granular material.
-
E.
seedRepresents
Indicates that one entity serves as a symbolic, conceptual, or prototypical representation of another, like a "seed" example standing in for a broader idea or set.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fd1655c081908933b34ba0387479 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 11:27 p.m.