Triple
T2831829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democracy Monument |
E62254
|
entity |
| Predicate | wingsSymbolize |
P129
|
FINISHED |
| Object | four branches of the armed forces |
—
|
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: four branches of the armed forces | Statement: [Democracy Monument, wingsSymbolize, four branches of the armed forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingsSymbolize Context triple: [Democracy Monument, wingsSymbolize, four branches of the armed forces]
-
A.
towersSymbolize
Indicates that towers serve as symbols representing particular ideas, values, or concepts.
-
B.
architectOfWing
Indicates that one entity served as the architect responsible for designing a particular wing of a building or structure.
-
C.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
D.
hasWings
Indicates that an entity possesses wings as physical appendages.
-
E.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.