Triple
T27659004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the State of Oregon |
E697068
|
entity |
| Predicate | hasTwoSidedDesign |
P163321
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Flag of the State of Oregon, hasTwoSidedDesign, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwoSidedDesign Context triple: [Flag of the State of Oregon, hasTwoSidedDesign, true]
-
A.
frontDesignSameAsBack
Indicates that the design on the front side of an object is identical to the design on its back side.
-
B.
hasLeftSideDesignation
Indicates that a specific designation, label, or marker is assigned to the left side of an object, structure, or spatial arrangement.
-
C.
hasCapitalOnOneSide
Indicates that one entity has its capital city located on one side (e.g., bank, shore, border) of the other entity.
-
D.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
hasTwoMainFaces
Indicates that an entity possesses exactly two primary or most prominent faces or sides.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 2:35 p.m.