Triple
T12368090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascadian flag |
E294923
|
entity |
| Predicate | hasCentralEmblem |
P90221
|
FINISHED |
| Object | silhouetted Douglas fir |
—
|
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: silhouetted Douglas fir | Statement: [Cascadian flag, hasCentralEmblem, silhouetted Douglas fir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralEmblem Context triple: [Cascadian flag, hasCentralEmblem, silhouetted Douglas fir]
-
A.
containsEmblem
chosen
Indicates that one entity includes or displays the emblem of another entity as part of its design or composition.
-
B.
emblemUsedBy
Indicates that a particular emblem is adopted or employed by a specific entity as its symbol or identifying mark.
-
C.
hasEmblemColor
Indicates that an emblem possesses or is characterized by a specific color.
-
D.
protectiveEmblemName
Indicates that a given name is the designated title or label of a protective emblem associated with an entity or context.
-
E.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.