Triple
T22775034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Haiti |
E563671
|
entity |
| Predicate | flagsSymbolize |
P129
|
FINISHED |
| Object | national unity |
—
|
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: national unity | Statement: [coat of arms of Haiti, flagsSymbolize, national unity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagsSymbolize Context triple: [coat of arms of Haiti, flagsSymbolize, national unity]
-
A.
reverseSymbolizes
Indicates that one entity serves as a symbolic representation of another, but in an inverse or opposite direction to the usual symbolism relationship.
-
B.
symbolizedIn
Indicates that one entity serves as a symbol or representation of another entity.
-
C.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
D.
definesSymbol
Indicates that one entity specifies or establishes another entity as a symbol representing some concept, value, or object.
-
E.
flagUsedBy
Indicates that a particular flag is officially used by a specified entity, such as a country, organization, or group.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b60eec48190b0aaf3eb7ede38d4 |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.