Triple
T58476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the President of the United States |
E1157
|
entity |
| Predicate | backgroundShapeOfArms |
P1601
|
FINISHED |
| Object | circular blue shield |
—
|
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 blue shield | Statement: [Flag of the President of the United States, backgroundShapeOfArms, circular blue shield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backgroundShapeOfArms Context triple: [Flag of the President of the United States, backgroundShapeOfArms, circular blue shield]
-
A.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
B.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
badgeShape
chosen
Indicates the geometric form or outline that a badge takes.
-
D.
appearance
Indicates how something looks or seems to an observer, including its visible form, condition, or outward impression.
-
E.
camouflagePattern
Indicates that one entity has a surface or visual design intended to conceal it by blending with its surroundings or disrupting its outline.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24c9057348190aa6692eeeae19569 |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac7547c81909bb68f327cdb9158 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.