Triple
T3798443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of Eritrea |
E91629
|
entity |
| Predicate | shapeElement |
P1464
|
FINISHED |
| Object | circular disc |
—
|
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: circular disc | Statement: [Emblem of Eritrea, shapeElement, circular disc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeElement Context triple: [Emblem of Eritrea, shapeElement, circular disc]
-
A.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
B.
baseShape
Indicates that one entity serves as the fundamental or underlying shape or form upon which another entity is defined, derived, or constructed.
-
C.
depictionElement
Indicates that one entity is an element or component that appears within the visual or representational depiction of another entity.
-
D.
plotElement
Indicates that one entity functions as a narrative component or structural element within the storyline of another entity (such as a work of fiction or media).
-
E.
definesElement
Indicates that one entity specifies or determines the nature, structure, or identity of another entity as its defining element.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.