Triple
T25736870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Venezuela |
E645398
|
entity |
| Predicate | cornucopiaRepresents |
P159203
|
FINISHED |
| Object | abundance |
—
|
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: abundance | Statement: [Coat of arms of Venezuela, cornucopiaRepresents, abundance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cornucopiaRepresents Context triple: [Coat of arms of Venezuela, cornucopiaRepresents, abundance]
-
A.
cornucopiaContents
Indicates that one entity is an item or element contained within, or making up part of, the other entity represented as a cornucopia.
-
B.
cornerRepresents
Indicates that a particular corner in a structure, diagram, or space stands for or symbolizes another element, concept, or feature.
-
C.
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.
-
D.
crownRepresents
Indicates that one entity (the crown) symbolically stands for, embodies, or serves as an official emblem of another entity, such as authority, sovereignty, or a governing body.
-
E.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
- 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_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. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 11:27 p.m.