Triple
T33449921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Saxony-Anhalt |
E856607
|
entity |
| Predicate | lowerField |
P177031
|
FINISHED |
| Object | or |
—
|
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: or | Statement: [Coat of arms of Saxony-Anhalt, lowerField, or]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerField Context triple: [Coat of arms of Saxony-Anhalt, lowerField, or]
-
A.
lowerFieldCharge
Indicates that an entity reduces or decreases the electric charge present in a specified field.
-
B.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
C.
lowerStage
Indicates that one entity is at a lower or earlier stage, level, or phase in a progression or hierarchy than another entity.
-
D.
lowerTerminus
Indicates that one entity serves as the lower endpoint or downstream terminus of another entity, such as a route, segment, or connection.
-
E.
lowered
Indicates that one entity caused another entity’s level, value, position, or intensity to become less than it was before.
- 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_69f34971b75881908be360bb041f003c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:37 a.m.