Triple
T3583547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Colombia |
E75855
|
entity |
| Predicate | stateFlagDesign |
P1529
|
FINISHED |
| Object | national tricolor with coat of arms at center |
—
|
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 tricolor with coat of arms at center | Statement: [flag of Colombia, stateFlagDesign, national tricolor with coat of arms at center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateFlagDesign Context triple: [flag of Colombia, stateFlagDesign, national tricolor with coat of arms at center]
-
A.
flagDesigner
Indicates that one entity is the person or group responsible for designing the flag associated with another entity.
-
B.
designStatus
Indicates the current state or phase of progress for a design within its lifecycle.
-
C.
formerFlagDesignDescription
Indicates a textual description of the design or appearance of a flag that was used in the past but is no longer the current flag.
-
D.
homeStateFlag
Indicates that a particular flag is officially recognized as the state flag of the referenced home state.
-
E.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc104846c81908b6fbde7061464b4 |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.