Triple
T23228712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British colonial flag of Trinidad and Tobago |
E581087
|
entity |
| Predicate | defacement |
P4957
|
FINISHED |
| Object | badge of Trinidad and Tobago |
—
|
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: badge of Trinidad and Tobago | Statement: [British colonial flag of Trinidad and Tobago, defacement, badge of Trinidad and Tobago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defacement Context triple: [British colonial flag of Trinidad and Tobago, defacement, badge of Trinidad and Tobago]
-
A.
defacedWith
chosen
Indicates that one entity has been damaged, marred, or vandalized using another entity as the means or material of defacement.
-
B.
deconsecrated
Indicates that something previously dedicated as sacred or religious has had that sacred status formally removed or revoked.
-
C.
downfall
Indicates the process or event by which an entity experiences a significant decline, ruin, or loss of power, status, or success.
-
D.
deconstructs
Indicates that one entity systematically takes apart, analyzes, or dismantles another entity or its structure into constituent elements.
-
E.
defect
Indicates that an entity has a fault, imperfection, or malfunction that causes it to deviate from an expected standard or proper functioning.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192302e508190b286c284a261f172 |
completed | April 29, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.