Triple
T25736862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Venezuela |
E645398
|
entity |
| Predicate | chargeOnYellowField |
P159494
|
FINISHED |
| Object | weapons and flags |
—
|
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: weapons and flags | Statement: [Coat of arms of Venezuela, chargeOnYellowField, weapons and flags]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chargeOnYellowField Context triple: [Coat of arms of Venezuela, chargeOnYellowField, weapons and flags]
-
A.
chargeOnRedField
Indicates that an entity bears or displays a charge (such as a symbol or emblem) positioned on a red-colored field or background.
-
B.
chargeColour
Indicates that one entity assigns or possesses a specific color associated with an electrical or physical charge of another entity.
-
C.
chargeOnChief
Indicates that a formal accusation or legal charge is filed against a chief or primary authority figure.
-
D.
fieldCharge
Indicates a relationship where an entity is assigned, responsible for, or associated with a particular field-related duty, task, or area of oversight.
-
E.
chargeLed
Indicates that an entity took primary leadership or command in initiating and driving a particular effort, operation, or action.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fd1655c081908933b34ba0387479 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 21, 2026, 11:27 p.m.