Triple
T4596883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Kentucky |
E100225
|
entity |
| Predicate | textPlacement |
P15060
|
FINISHED |
| Object | encircling the seal |
—
|
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: encircling the seal | Statement: [Flag of Kentucky, textPlacement, encircling the seal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textPlacement Context triple: [Flag of Kentucky, textPlacement, encircling the seal]
-
A.
logoPlacement
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
B.
titlePositionRelation
Indicates a relationship specifying how a title is positioned or ordered relative to other titles or elements.
-
C.
stylePositioning
chosen
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
D.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
E.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd594055dc8190a50f1b4be2be1ba0 |
completed | March 20, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.