Triple
T33449934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Saxony-Anhalt |
E856607
|
entity |
| Predicate | upperPartDerivedFrom |
P83691
|
FINISHED |
| Object | Coat of arms of Saxony |
—
|
NE NERFINISHED |
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: Coat of arms of Saxony | Statement: [Coat of arms of Saxony-Anhalt, upperPartDerivedFrom, Coat of arms of Saxony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperPartDerivedFrom Context triple: [Coat of arms of Saxony-Anhalt, upperPartDerivedFrom, Coat of arms of Saxony]
-
A.
hasUpperPartFrom
chosen
Indicates that an entity includes, incorporates, or is composed of an upper part originating from another entity.
-
B.
upperComponent
Indicates that one component is positioned above or on top of another component within a larger structure or assembly.
-
C.
upperSectionType
Indicates the type or category assigned to the upper section or upper part of an object, structure, or entity.
-
D.
upperPartRemainedIntact
Indicates that the upper part of an object or structure was not damaged or altered and stayed in its original condition.
-
E.
upperCourseOf
Indicates that one watercourse represents the upstream or higher-elevation segment of another watercourse within the same river system.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:37 a.m.