Triple
T24741742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Uruguay |
E618580
|
entity |
| Predicate | lowerRightQuarterCharge |
P157288
|
FINISHED |
| Object | black bull |
—
|
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: black bull | Statement: [Coat of arms of Uruguay, lowerRightQuarterCharge, black bull]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerRightQuarterCharge Context triple: [Coat of arms of Uruguay, lowerRightQuarterCharge, black bull]
-
A.
lowerLeftQuarterCharge
Indicates that one entity is charged or positioned in the lower-left quarter relative to another entity or reference frame.
-
B.
upperLeftQuarterCharge
Indicates that one entity is positioned or placed as a charge in the upper-left quarter of another entity or field.
-
C.
lowerFieldCharge
Indicates that an entity reduces or decreases the electric charge present in a specified field.
-
D.
middleFieldCharge
Indicates that an entity is positioned or operates in the central area of a field, typically assuming responsibility or influence over that middle region.
-
E.
centralCharge
Indicates that an entity has a specific central charge value, typically quantifying a key parameter in a conformal or related physical or mathematical theory.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f42b11251881908070b93355de64ad |
completed | May 1, 2026, 4:24 a.m. |
Created at: April 18, 2026, 4:16 a.m.