Triple
T4336553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Cambodia |
E97475
|
entity |
| Predicate | centralStripeWidth |
P55651
|
FINISHED |
| Object | twice the width of each blue stripe |
—
|
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: twice the width of each blue stripe | Statement: [Flag of Cambodia, centralStripeWidth, twice the width of each blue stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralStripeWidth Context triple: [Flag of Cambodia, centralStripeWidth, twice the width of each blue stripe]
-
A.
middleStripeColor
Indicates that one entity has a middle stripe whose color is specified by the other entity.
-
B.
centralArchWidth
Indicates the measured width of the central arch in a structure or object.
-
C.
secondStripeColor
Indicates the color assigned to the second stripe in a sequence of stripes on an object or pattern.
-
D.
bottomStripeColor
Indicates the color that appears on the bottom stripe portion of an object or design.
-
E.
topStripeColor
Indicates the color that appears on the topmost stripe of an object or pattern.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:14 p.m.