Triple
T22775031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Haiti |
E563671
|
entity |
| Predicate | palmTreeSymbolizes |
P145830
|
FINISHED |
| Object | freedom |
—
|
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: freedom | Statement: [coat of arms of Haiti, palmTreeSymbolizes, freedom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: palmTreeSymbolizes Context triple: [coat of arms of Haiti, palmTreeSymbolizes, freedom]
-
A.
oakTreeSymbolizes
Indicates that an oak tree is used as a symbol representing a particular idea, quality, or concept.
-
B.
treeSymbolism
Indicates the use of a tree as a symbolic representation of an idea, quality, or relationship between entities.
-
C.
plantSymbolism
chosen
Indicates that a plant is associated with a particular symbolic meaning, concept, or value.
-
D.
hasPlantSymbol
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
-
E.
greenMoundSymbolizes
Indicates that a green mound functions as a symbol representing or conveying a particular meaning, concept, or association.
- 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.