Triple
T24741741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Uruguay |
E618580
|
entity |
| Predicate | lowerLeftQuarterCharge |
P157076
|
FINISHED |
| Object | galloping horse |
—
|
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: galloping horse | Statement: [Coat of arms of Uruguay, lowerLeftQuarterCharge, galloping horse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerLeftQuarterCharge Context triple: [Coat of arms of Uruguay, lowerLeftQuarterCharge, galloping horse]
-
A.
lowerFieldCharge
Indicates that an entity reduces or decreases the electric charge present in a specified field.
-
B.
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.
-
C.
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.
-
D.
lowerHalfRange
Indicates that the related value or element lies within the lower half of a specified overall range.
-
E.
lowestZone
Indicates that one entity occupies or corresponds to the lowest-ranked or lowest-level zone among a set of zones.
- 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_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:16 a.m.