Triple
T15521299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Barbados |
E368971
|
entity |
| Predicate | compartmentDepicts |
P118976
|
FINISHED |
| Object | grassy ground |
—
|
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: grassy ground | Statement: [Coat of arms of Barbados, compartmentDepicts, grassy ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compartmentDepicts Context triple: [Coat of arms of Barbados, compartmentDepicts, grassy ground]
-
A.
compartment
Indicates that one entity is a distinct, enclosed or functionally separated part or section within another entity.
-
B.
locatedInTheInteriorOf
Indicates that one entity is situated entirely within the inner part or inside area of another entity, rather than on its surface or boundary.
-
C.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
-
D.
cannotBeDissolvedChamber
Indicates that the specified chamber has a status or legal condition such that it cannot be formally dissolved.
-
E.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 4:04 a.m.